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2020 – today
- 2024
- [j64]Siddharth Roheda, Hamid Krim, Bo Jiang:
Volterra Neural Networks (VNNs). J. Mach. Learn. Res. 25: 182:1-182:29 (2024) - [i38]Vahid Jebraeeli, Bo Jiang, Derya Cansever, Hamid Krim:
Koopcon: A new approach towards smarter and less complex learning. CoRR abs/2405.13866 (2024) - [i37]Vahid Jebraeeli, Bo Jiang, Hamid Krim, Derya Cansever:
Expansive Synthesis: Generating Large-Scale Datasets from Minimal Samples. CoRR abs/2406.17238 (2024) - [i36]Zhichao Hou, MohamadAli Torkamani, Hamid Krim, Xiaorui Liu:
Robustness Reprogramming for Representation Learning. CoRR abs/2410.04577 (2024) - 2023
- [j63]Sally Ghanem, Siddharth Roheda, Hamid Krim:
Latent code-based fusion: A Volterra neural network approach. Intell. Syst. Appl. 18: 200210 (2023) - [c131]Bo Jiang, Hamid Krim, Tianfu Wu, Derya Cansever:
Implicit Bayes Adaptation: A Collaborative Transport Approach. ICASSP 2023: 1-5 - [c130]Siddharth Roheda, Ashkan Panahi, Hamid Krim:
Fast Optimal Transport for Latent Domain Adaptation. ICIP 2023: 1810-1814 - [c129]Arman Rahbar, Ashkan Panahi, Morteza Haghir Chehreghani, Devdatt P. Dubhashi, Hamid Krim:
Recovery Bounds on Class-Based Optimal Transport: A Sum-of-Norms Regularization Framework. ICML 2023: 28549-28577 - [i35]Bo Jiang, Hamid Krim, Tianfu Wu, Derya Cansever:
Implicit Bayes Adaptation: A Collaborative Transport Approach. CoRR abs/2304.08298 (2023) - 2022
- [j62]Wen Tang, Alireza Chakeri, Hamid Krim:
Discovering urban functional zones from biased and sparse points of interests and sparse human activities. Expert Syst. Appl. 207: 118062 (2022) - [j61]Wen Tang, Emilie Chouzenoux, Jean-Christophe Pesquet, Hamid Krim:
Deep transform and metric learning network: Wedding deep dictionary learning and neural network. Neurocomputing 509: 244-256 (2022) - [c128]Priyanka Sinha, Hamid Krim, Ismail Güvenç:
Neural Network Based Tracking of Maneuvering Unmanned Aerial Vehicles. IEEECONF 2022: 380-386 - [c127]Bo Jiang, Hamid Krim, Tianfu Wu, Derya Cansever:
Refining Self-Supervised Learning in Imaging: Beyond Linear Metric. ICIP 2022: 76-80 - [i34]Bo Jiang, Hamid Krim, Tianfu Wu, Derya Cansever:
Refining Self-Supervised Learning in Imaging: Beyond Linear Metric. CoRR abs/2202.12921 (2022) - [i33]Sally Ghanem, Hamid Krim:
Information Fusion: Scaling Subspace-Driven Approaches. CoRR abs/2204.12035 (2022) - [i32]Siddharth Roheda, Ashkan Panahi, Hamid Krim:
Fast OT for Latent Domain Adaptation. CoRR abs/2210.00479 (2022) - 2021
- [j60]Lijun Zhang, Hui Guan, Yufei Ding, Xipeng Shen, Hamid Krim:
Reuse-centric k-means configuration. Inf. Syst. 100: 101787 (2021) - [j59]Siddharth Roheda, Hamid Krim, Zhi-Quan Luo, Tianfu Wu:
Event driven sensor fusion. Signal Process. 188: 108241 (2021) - [j58]Hui Guan, Xipeng Shen, Hamid Krim:
An Automatic Synthesizer of Advising Tools for High Performance Computing. IEEE Trans. Parallel Distributed Syst. 32(2): 330-341 (2021) - [c126]Bo Jiang, Yiyi Yu, Hamid Krim, Spencer L. Smith:
Dynamic Graph Learning Based on Graph Laplacian. ICASSP 2021: 1090-1094 - [c125]Wen Tang, Emilie Chouzenoux, Jean-Christophe Pesquet, Hamid Krim:
Deep Transform and Metric Learning Networks. ICASSP 2021: 2735-2739 - [c124]Kenneth Tran, Wesam A. Sakla, Hamid Krim:
Generative Information Fusion. ICASSP 2021: 3990-3994 - [i31]Sally Ghanem, Siddharth Roheda, Hamid Krim:
Latent Code-Based Fusion: A Volterra Neural Network Approach. CoRR abs/2104.04829 (2021) - [i30]Wen Tang, Emilie Chouzenoux, Jean-Christophe Pesquet, Hamid Krim:
Deep Transform and Metric Learning Networks. CoRR abs/2104.10329 (2021) - 2020
- [j57]Yuming Huang, Ashkan Panahi, Hamid Krim, Liyi Dai:
Community Detection and Improved Detectability in Multiplex Networks. IEEE Trans. Netw. Sci. Eng. 7(3): 1697-1709 (2020) - [c123]Siddharth Roheda, Hamid Krim:
Conquering the CNN Over-Parameterization Dilemma: A Volterra Filtering Approach for Action Recognition. AAAI 2020: 11948-11956 - [c122]Siddharth Roheda, Hamid Krim, Benjamin S. Riggan:
Commuting Conditional GANS for Multi-Modal Fusion. ICASSP 2020: 3197-3201 - [i29]Wen Tang, Emilie Chouzenoux, Jean-Christophe Pesquet, Hamid Krim:
Deep Transform and Metric Learning Network: Wedding Deep Dictionary Learning and Neural Networks. CoRR abs/2002.07898 (2020) - [i28]Wen Tang, Alireza Chakeri, Hamid Krim:
Discovering Urban Functional Zones By Latent Fusion of Users GPS Data and Points of Interests. CoRR abs/2004.09720 (2020) - [i27]Sally Ghanem, Ashkan Panahi, Hamid Krim, Ryan A. Kerekes:
Robust Group Subspace Recovery: A New Approach for Multi-Modality Data Fusion. CoRR abs/2006.10657 (2020)
2010 – 2019
- 2019
- [j56]Shahin Mahdizadehaghdam, Ashkan Panahi, Hamid Krim, Liyi Dai:
Deep Dictionary Learning: A PARametric NETwork Approach. IEEE Trans. Image Process. 28(10): 4790-4802 (2019) - [j55]Wen Tang, Ashkan Panahi, Hamid Krim, Liyi Dai:
Analysis Dictionary Learning Based Classification: Structure for Robustness. IEEE Trans. Image Process. 28(12): 6035-6046 (2019) - [c121]Kenneth Tran, Ashkan Panahi, Aniruddha Adiga, Wesam A. Sakla, Hamid Krim:
Nonlinear Multi-scale Super-resolution Using Deep Learning. ICASSP 2019: 3182-3186 - [c120]Wen Tang, Ashkan Panahi, Hamid Krim, Liyi Dai:
Analysis Dictionary Learning: an Efficient and Discriminative Solution. ICASSP 2019: 3682-3686 - [c119]Shahin Mahdizadehaghdam, Ashkan Panahi, Hamid Krim:
Sparse Generative Adversarial Network. ICCV Workshops 2019: 3063-3071 - [i26]Wen Tang, Ashkan Panahi, Hamid Krim, Liyi Dai:
Analysis Dictionary Learning: An Efficient and Discriminative Solution. CoRR abs/1903.03058 (2019) - [i25]Siddharth Roheda, Hamid Krim, Benjamin S. Riggan:
Commuting Conditional GANs for Robust Multi-Modal Fusion. CoRR abs/1906.04115 (2019) - [i24]Wen Tang, Ashkan Panahi, Hamid Krim:
Joint Concept Matching based Learning for Zero-Shot Recognition. CoRR abs/1906.05879 (2019) - [i23]Shahin Mahdizadehaghdam, Ashkan Panahi, Hamid Krim:
Sparse Generative Adversarial Network. CoRR abs/1908.08930 (2019) - [i22]Yuming Huang, Ashkan Panahi, Hamid Krim, Yiyi Yu, Spencer L. Smith:
Deep Adversarial Belief Networks. CoRR abs/1909.06134 (2019) - [i21]Yuming Huang, Ashkan Panahi, Hamid Krim, Liyi Dai:
Community Detection and Improved Detectability in Multiplex Networks. CoRR abs/1909.10477 (2019) - [i20]Siddharth Roheda, Hamid Krim:
Conquering the CNN Over-Parameterization Dilemma: A Volterra Filtering Approach for Action Recognition. CoRR abs/1910.09616 (2019) - 2018
- [j54]Xiao Bian, Ashkan Panahi, Hamid Krim:
Bi-sparsity pursuit: A paradigm for robust subspace recovery. Signal Process. 152: 148-159 (2018) - [j53]Lucas A. Thomaz, Eric Jardim, Allan F. da Silva, Eduardo A. B. da Silva, Sergio L. Netto, Hamid Krim:
Anomaly Detection in Moving-Camera Video Sequences Using Principal Subspace Analysis. IEEE Trans. Circuits Syst. I Regul. Pap. 65-I(3): 1003-1015 (2018) - [j52]Han Wang, Erik Skau, Hamid Krim, Guido Cervone:
Fusing Heterogeneous Data: A Case for Remote Sensing and Social Media. IEEE Trans. Geosci. Remote. Sens. 56(12): 6956-6968 (2018) - [j51]Sally Ghanem, Hamid Krim, Hamilton Scott Clouse, Wesam A. Sakla:
Metric Driven Classification: A Non-Parametric Approach Based on the Henze-Penrose Test Statistic. IEEE Trans. Image Process. 27(12): 5947-5956 (2018) - [c118]Yuming Huang, Ashkan Panahi, Hamid Krim, Liyi Dai:
Fusion of Community Structures in Multiplex Networks by Label Constraints. EUSIPCO 2018: 887-891 - [c117]Arnaud Breloy, Mohammed Nabil El Korso, Ashkan Panahi, Hamid Krim:
Robust Subspace Clustering for Radar Detection. EUSIPCO 2018: 1602-1606 - [c116]Sally Ghanem, Ashkan Panahi, Hamid Krim, Ryan A. Kerekes, John K. Mattingly:
Information Subspace-Based Fusion for Vehicle Classification. EUSIPCO 2018: 1612-1616 - [c115]Siddharth Roheda, Hamid Krim, Zhi-Quan Luo, Tianfu Wu:
Decision Level Fusion: An Event Driven Approach. EUSIPCO 2018: 2598-2602 - [c114]Wen Tang, Ashkan Panahi, Hamid Krim, Liyi Dai:
Structured Analysis Dictionary Learning for Image Classification. ICASSP 2018: 2181-2185 - [c113]Siddharth Roheda, Benjamin S. Riggan, Hamid Krim, Liyi Dai:
Cross-Modality Distillation: A Case for Conditional Generative Adversarial Networks. ICASSP 2018: 2926-2930 - [c112]Ashkan Panahi, Hamid Krim, Liyi Dai:
Demystifying Deep Learning: a Geometric Approach to Iterative Projections. ICASSP 2018: 6857-6861 - [c111]Hui Guan, Yufei Ding, Xipeng Shen, Hamid Krim:
Reuse-Centric K-Means Configuration. ICDE 2018: 1224-1227 - [c110]Yufang Bao, Hamid Krim:
Video Tracking of Insect Flight Path: Towards Behavioral Assessment. IPTA 2018: 1-6 - [c109]Ashkan Panahi, Xiao Bian, Hamid Krim, Liyi Dai:
Robust Subspace Clustering by Bi-Sparsity Pursuit: Guarantees and Sequential Algorithm. WACV 2018: 1302-1311 - [i19]Shahin Mahdizadehaghdam, Ashkan Panahi, Hamid Krim, Liyi Dai:
Deep Dictionary Learning: A PARametric NETwork Approach. CoRR abs/1803.04022 (2018) - [i18]Ashkan Panahi, Hamid Krim, Liyi Dai:
Demystifying Deep Learning: A Geometric Approach to Iterative Projections. CoRR abs/1803.08416 (2018) - [i17]Wen Tang, Ashkan Panahi, Hamid Krim, Liyi Dai:
Structured Analysis Dictionary Learning for Image Classification. CoRR abs/1805.00597 (2018) - [i16]Wen Tang, Ashkan Panahi, Hamid Krim, Liyi Dai:
Analysis Dictionary Learning based Classification: Structure for Robustness. CoRR abs/1807.04899 (2018) - 2017
- [j50]Deokwoo Lee, Hamid Krim:
3D face recognition in the Fourier domain using deformed circular curves. Multidimens. Syst. Signal Process. 28(1): 105-127 (2017) - [c108]Shahin Mahdizadehaghdam, Liyi Dai, Hamid Krim, Erik Skau, Han Wang:
Image classification: A hierarchical dictionary learning approach. ICASSP 2017: 2597-2601 - [c107]Shahin Mahdizadehaghdam, Han Wang, Hamid Krim, Liyi Dai:
Information diffusion in interconnected heterogeneous networks. ICASSP 2017: 3759-3763 - [c106]Saba Emrani, Hamid Krim:
A model-free causality measure based on multi-variate delay embedding. ICASSP 2017: 4163-4167 - [c105]Lucas A. Thomaz, Allan F. da Silva, Eduardo A. B. da Silva, Sergio L. Netto, Hamid Krim:
Detection of abandoned objects using robust subspace recovery with intrinsic video alignment. ISCAS 2017: 1-4 - [c104]Hui Guan, Xipeng Shen, Hamid Krim:
Egeria: a framework for automatic synthesis of HPC advising tools through multi-layered natural language processing. SC 2017: 10 - [c103]Deokwoo Lee, Hamid Krim:
Sampling Density Criterion for Circular Structured Light 3D Imaging. VISIGRAPP (6: VISAPP) 2017: 478-483 - [i15]Hui Guan, Thanos Gentimis, Hamid Krim, James Keiser:
First Study on Data Readiness Level. CoRR abs/1702.02107 (2017) - [i14]Shahin Mahdizadehaghdam, Han Wang, Hamid Krim, Liyi Dai:
Information diffusion in interconnected heterogeneous networks. CoRR abs/1707.05150 (2017) - [i13]Xilai Li, Tianfu Wu, Xi Song, Hamid Krim:
AOGNets: Deep AND-OR Grammar Networks for Visual Recognition. CoRR abs/1711.05847 (2017) - 2016
- [j49]Xiao Bian, Hamid Krim, Alex M. Bronstein, Liyi Dai:
Sparsity and Nullity: Paradigms for Analysis Dictionary Learning. SIAM J. Imaging Sci. 9(3): 1107-1126 (2016) - [j48]Hamid Krim, Thanos Gentimis, Harish Chintakunta:
Discovering the Whole by the Coarse: A topological paradigm for data analysis. IEEE Signal Process. Mag. 33(2): 95-104 (2016) - [j47]Jennifer Gamble, Harish Chintakunta, Adam C. Wilkerson, Hamid Krim:
Node Dominance: Revealing Community and Core-Periphery Structure in Social Networks. IEEE Trans. Signal Inf. Process. over Networks 2(2): 186-199 (2016) - [j46]Shahin Mahdizadehaghdam, Han Wang, Hamid Krim, Liyi Dai:
Information Diffusion of Topic Propagation in Social Media. IEEE Trans. Signal Inf. Process. over Networks 2(4): 569-581 (2016) - [c102]Erik Skau, Brendt Wohlberg, Hamid Krim, Liyi Dai:
Pansharpening via coupled triple factorization dictionary learning. ICASSP 2016: 1234-1237 - [c101]Wei Liang, Han Wang, Hamid Krim:
A behavior-based evaluation of product quality. ICASSP 2016: 1916-1920 - [c100]Xinyue Shen, Hamid Krim, Yuantao Gu:
Beyond union of subspaces: Subspace pursuit on Grassmann manifold for data representation. ICASSP 2016: 4079-4083 - [c99]Harish Chintakunta, Michael Robinson, Hamid Krim:
Introduction to the special session on Topological Data Analysis, ICASSP 2016. ICASSP 2016: 6410-6414 - [c98]Sally Ghanem, Erik Skau, Hamid Krim, Hamilton Scott Clouse, Wesam A. Sakla:
Non-parametric bounds on the nearest neighbor classification accuracy based on the Henze-Penrose metric. ICIP 2016: 1364-1368 - [c97]Hui Guan, Wen Tang, Hamid Krim, James Keiser, Andrew J. Rindos, Radmila Sazdanovic:
A topological collapse for document summarization. SPAWC 2016: 1-5 - [c96]Wen Tang, Ives Rey-Otero, Hamid Krim, Liyi Dai:
Analysis dictionary learning for scene classification. SSP 2016: 1-5 - [i12]Shahin Mahdizadehaghdam, Han Wang, Hamid Krim, Liyi Dai:
Information Diffusion of Topic Propagation in Social Media. CoRR abs/1602.04854 (2016) - [i11]Saba Emrani, Hamid Krim:
Effective Connectivity-Based Neural Decoding: A Causal Interaction-Driven Approach. CoRR abs/1607.07078 (2016) - 2015
- [j45]Harish Chintakunta, Thanos Gentimis, Rocío González-Díaz, María José Jiménez, Hamid Krim:
An entropy-based persistence barcode. Pattern Recognit. 48(2): 391-401 (2015) - [j44]Jennifer Gamble, Harish Chintakunta, Hamid Krim:
Coordinate-free quantification of coverage in dynamic sensor networks. Signal Process. 114: 1-18 (2015) - [j43]Saba Emrani, T. Scott Saponas, Dan Morris, Hamid Krim:
A Novel Framework for Pulse Pressure Wave Analysis Using Persistent Homology. IEEE Signal Process. Lett. 22(11): 1879-1883 (2015) - [c95]Saba Emrani, Hamid Krim:
Spectral estimation in highly transient data. EUSIPCO 2015: 1721-1725 - [c94]Jennifer Gamble, Harish Chintakunta, Hamid Krim:
Emergence of core-periphery structure from local node dominance in social networks. EUSIPCO 2015: 1910-1914 - [c93]Eric Jardim, Xiao Bian, Eduardo A. B. da Silva, Sergio L. Netto, Hamid Krim:
On the detection of abandoned objects with a moving camera using robust subspace recovery and sparse representation. ICASSP 2015: 1295-1299 - [c92]David Ayllón, Roberto Gil-Pita, Manuel Rosa-Zurera, Hamid Krim:
Real-time multiple DOA estimation of speech sources in wireless acoustic sensor networks. ICASSP 2015: 2709-2713 - [c91]Xiao Bian, Hamid Krim, Alex M. Bronstein, Liyi Dai:
Sparse null space basis pursuit and analysis dictionary learning for high-dimensional data analysis. ICASSP 2015: 3781-3785 - [c90]Lucas A. Thomaz, Allan F. da Silva, Eduardo A. B. da Silva, Sergio L. Netto, Xiao Bian, Hamid Krim:
Abandoned object detection using operator-space pursuit. ICIP 2015: 1980-1984 - [c89]Xiao Bian, Hamid Krim:
BI-sparsity pursuit for robust subspace recovery. ICIP 2015: 3535-3539 - [i10]Jennifer Gamble, Harish Chintakunta, Adam C. Wilkerson, Hamid Krim, Ananthram Swami:
Node Dominance: Revealing Community and Core-Periphery Structure in Social Networks. CoRR abs/1509.07435 (2015) - 2014
- [j42]Saba Emrani, Thanos Gentimis, Hamid Krim:
Persistent Homology of Delay Embeddings and its Application to Wheeze Detection. IEEE Signal Process. Lett. 21(4): 459-463 (2014) - [j41]Sheng Yi, Hamid Krim:
Subspace Learning of Dynamics on a Shape Manifold: A Generative Modeling Approach. IEEE Trans. Image Process. 23(11): 4907-4919 (2014) - [j40]Harish Chintakunta, Hamid Krim:
Distributed Localization of Coverage Holes Using Topological Persistence. IEEE Trans. Signal Process. 62(10): 2531-2541 (2014) - [j39]Tian Wang, Hamid Krim, Yannis Viniotis:
Analysis and Control of Beliefs in Social Networks. IEEE Trans. Signal Process. 62(21): 5552-5564 (2014) - [c88]Saba Emrani, Hamid Krim:
Robust detection of periodic patterns in gene expression microarray data using topological signal analysis. GlobalSIP 2014: 1406-1409 - [c87]Adam C. Wilkerson, Harish Chintakunta, Hamid Krim:
Computing persistent features in big data: A distributed dimension reduction approach. ICASSP 2014: 11-15 - [c86]Saba Emrani, Harish Chintakunta, Hamid Krim:
Real time detection of harmonic structure: A case for topological signal analysis. ICASSP 2014: 3445-3449 - [c85]Hamilton Scott Clouse, Xiao Bian, Thanos Gentimis, Hamid Krim:
Multi-level scene understanding via hierarchical classification. ICIP 2014: 966-970 - [i9]Tian Wang, Hamid Krim, Yannis Viniotis:
Analysis and Control of Beliefs in Social Networks. CoRR abs/1401.0323 (2014) - [i8]Xiao Bian, Hamid Krim:
Robust Subspace Recovery via Dual Sparsity Pursuit. CoRR abs/1403.8067 (2014) - [i7]Jennifer Gamble, Harish Chintakunta, Hamid Krim:
Adaptive tracking of representative cycles in regular and zigzag persistent homology. CoRR abs/1411.5442 (2014) - [i6]Jennifer Gamble, Harish Chintakunta, Hamid Krim:
Coordinate-Free Quantification of Coverage in Dynamic Sensor Networks. CoRR abs/1411.7337 (2014) - 2013
- [j38]Tian Wang, Hamid Krim, Yannis Viniotis:
A Generalized Markov Graph Model: Application to Social Network Analysis. IEEE J. Sel. Top. Signal Process. 7(2): 318-332 (2013) - [c84]Tian Wang, Hamid Krim:
Control and prediction of beliefs on social network. CAMSAP 2013: 300-303 - [c83]Rocío González-Díaz, María José Jiménez, Hamid Krim:
Towards Minimal Barcodes. GbRPR 2013: 184-193 - [c82]Adam C. Wilkerson, Harish Chintakunta, Hamid Krim, Terrence J. Moore, Ananthram Swami:
A distributed collapse of a network's dimensionality. GlobalSIP 2013: 595-598 - [c81]Sheng Yi, Hamid Krim:
A Subspace Learning of Dynamics on a Shape Manifold: A Generative Modeling Approach. GSI 2013: 84-91 - [c80]Xiao Bian, Hamid Krim:
Activity Video Analysis via Operator-Based Local Embedding. GSI 2013: 845-852 - [c79]David Ayllón, Roberto Gil-Pita, Manuel Rosa-Zurera, Hamid Krim:
An information theoretic approach for speech source enumeration. ICASSP 2013: 4300-4304 - [c78]Adam C. Wilkerson, Terrence J. Moore, Ananthram Swami, Hamid Krim:
Simplifying the homology of networks via strong collapses. ICASSP 2013: 5258-5262 - [i5]Harish Chintakunta, Hamid Krim:
Distributed boundary tracking using alpha and Delaunay-Cech shapes. CoRR abs/1302.3982 (2013) - [i4]Harish Chintakunta, Hamid Krim:
Distributed computation of homology using harmonics. CoRR abs/1306.1158 (2013) - 2012
- [j37]Sheng Yi, Hamid Krim, Larry K. Norris:
Human Activity as a Manifold-Valued Random Process. IEEE Trans. Image Process. 21(8): 3416-3428 (2012) - [c77]Xiao Bian, Hamid Krim:
Optimal Operator Space Pursuit: A Framework for Video Sequence Data Analysis. ACCV (2) 2012: 760-769 - [c76]Deokwoo Lee, Hamid Krim:
System Identification: 3D Measurement Using Structured Light System. ACIVS 2012: 1-11 - [c75]Tian Wang, Hamid Krim:
Statistical classification of social networks. ICASSP 2012: 3977-3980 - 2011
- [c74]Sheng Yi, Hamid Krim, Larry K. Norris:
Human Activity Modeling on Shape Manifold. 3DOR@Eurographics 2011: 105-112 - [c73]Harish Chintakunta, Hamid Krim:
Detection and tracking of systematic time-evolving failures in sensor networks. CAMSAP 2011: 373-376 - [c72]Sheng Yi, Hamid Krim, Larry K. Norris:
A invertible dimension reduction of curves on a manifold. ICCV Workshops 2011: 1378-1385 - [c71]Deokwoo Lee, Hamid Krim:
A Sampling Theorem for a 2D Surface. SSVM 2011: 556-567 - [c70]Sheng Yi, Hamid Krim, Larry K. Norris:
Human Activity Modeling as Brownian Motion on Shape Manifold. SSVM 2011: 628-639 - [c69]Shun Miao, Hamid Krim:
Robustness and expression independence in 3D face recognition. SiPS 2011: 289-292 - [i3]Harish Chintakunta, Hamid Krim:
Topological Fidelity in Sensor Networks. CoRR abs/1106.6069 (2011) - [i2]Sheng Yi, Hamid Krim, Larry K. Norris:
A Invertible Dimension Reduction of Curves on a Manifold. CoRR abs/1108.0007 (2011) - 2010
- [j36]Djamila Aouada, Hamid Krim:
Squigraphs for Fine and Compact Modeling of 3-D Shapes. IEEE Trans. Image Process. 19(2): 306-321 (2010) - [j35]Sajjad Baloch, Hamid Krim:
Object Recognition Through Topo-Geometric Shape Models Using Error-Tolerant Subgraph Isomorphisms. IEEE Trans. Image Process. 19(5): 1191-1200 (2010) - [j34]Ping-Feng Chen, Hamid Krim, Olga L. Mendoza:
Multiphase Joint Segmentation-Registration and Object Tracking for Layered Images. IEEE Trans. Image Process. 19(7): 1706-1719 (2010) - [j33]Oleg V. Poliannikov, Elena A. Zhizhina, Hamid Krim:
Global Optimization by Adapted Diffusion. IEEE Trans. Signal Process. 58(12): 6119-6125 (2010) - [c68]Deokwoo Lee, Hamid Krim:
3D Surface Reconstruction Using Structured Circular Light Patterns. ACIVS (1) 2010: 279-289 - [c67]Shun Miao, Hamid Krim:
3D face recognition based on evolution of iso-geodesic distance curves. ICASSP 2010: 1134-1137 - [c66]Ang V. N. Che, Griff L. Bilbro, Hamid Krim, Mohamed El Badaoui, François Guillet:
A novel approach to decompose a modulated broadband carrier. ICASSP 2010: 5062-5065 - [c65]Djamila Aouada, Yuliy M. Baryshnikov, Hamid Krim:
Mahalanobis-based Adaptive Nonlinear Dimension Reduction. ICPR 2010: 742-745 - [c64]Harish Chintakunta, Hamid Krim:
Divide and Conquer: Localizing Coverage Holes in Sensor Networks. SECON 2010: 359-366
2000 – 2009
- 2009
- [j32]Ping-Feng Chen, R. Grant Steen, Anthony J. Yezzi, Hamid Krim:
Joint Brain Parametric T1-Map Segmentation and RF Inhomogeneity Calibration. Int. J. Biomed. Imaging 2009: 269525:1-269525:14 (2009) - [j31]Sheng Yi, Demetrio Labate, Glenn R. Easley, Hamid Krim:
A Shearlet Approach to Edge Analysis and Detection. IEEE Trans. Image Process. 18(5): 929-941 (2009) - [c63]Ping-Feng Chen, R. Grant Steen, Anthony J. Yezzi, Hamid Krim:
Brain MRI T1-Map and T1-weighted image segmentation in a variational framework. ICASSP 2009: 417-420 - [c62]Djamila Aouada, Hamid Krim:
Novel similarity invariant for space curves using turning angles and its application to object recognition. ICASSP 2009: 1277-1280 - [c61]Djamila Aouada, Hamid Krim:
Meaningful 3D shape partitioning using Morse functions. ICIP 2009: 417-420 - [c60]Sheng Yi, Hamid Krim:
Capturing human activity by a curve. ICIP 2009: 3561-3564 - 2008
- [c59]Anna Scaglione, Roberto Pagliari, Hamid Krim:
The decentralized estimation of the sample covariance. ACSCC 2008: 1722-1726 - [c58]Ping-Feng Chen, Hamid Krim:
Determining canonical views of 3D object using minimum description length criterion and compressive sensing method. Computational Imaging 2008: 68140 - [c57]Djamila Aouada, Hamid Krim:
3D object recognition using fully intrinsic skeletal graphs. Computational Imaging 2008: 681409 - [c56]Djamila Aouada, David W. Dreisigmeyer, Hamid Krim:
Geometric modeling of rigid and non-rigid 3D shapes using the global geodesic function. CVPR Workshops 2008: 1-8 - [c55]Sheng Yi, Demetrio Labate, Glenn R. Easley, Hamid Krim:
Edge detection and processing using shearlets. ICIP 2008: 1148-1151 - [c54]Haytham Yaghi, Hamid Krim:
Probabilistic graph matching by canonical decomposition. ICIP 2008: 2368-2371 - [i1]Shuo Feng, Irina A. Kogan, Hamid Krim:
Classification of curves in 2D and 3D via affine integral signatures. CoRR abs/0806.1984 (2008) - 2007
- [j30]Sajjad Baloch, Hamid Krim:
Flexible Skew-Symmetric Shape Model for Shape Representation, Classification, and Sampling. IEEE Trans. Image Process. 16(2): 317-328 (2007) - [c53]Shuo Feng, Djamila Aouada, Hamid Krim, Irina A. Kogan:
3D Mixed Invariant and its Application on Object Classification. ICASSP (1) 2007: 461-464 - [c52]Djamila Aouada, Shuo Feng, Hamid Krim:
Statistical Analysis of the Global Geodesic Function for 3D Object Classification. ICASSP (1) 2007: 645-648 - [c51]Oleg V. Poliannikov, Elena A. Zhizhina, Hamid Krim:
A New Approach to Global Optimiation by an Adapted Diffusion. ICASSP (3) 2007: 1401-1404 - [c50]Shuo Feng, Irina A. Kogan, Hamid Krim:
Integral invariants for 3D curves: an inductive approach. VCIP 2007: 65080I - 2006
- [j29]A. Ben Hamza, Hamid Krim:
Geodesic matching of triangulated surfaces. IEEE Trans. Image Process. 15(8): 2249-2258 (2006) - [c49]Sajjad Baloch, Hamid Krim:
Graph-based 3D object classification. Computational Imaging 2006: 606505 - [c48]Shuo Feng, Hamid Krim, Irene Y. H. Gu, Mats Viberg:
3D Face Recognition Using Affine Integral Invariants. ICASSP (2) 2006: 189-192 - [p2]Sajjad Hussain Baloch, Hamid Krim:
2D Shape Modeling using Skeletal Graphs in a Morse Theoretic Framework. Statistics and Analysis of Shapes 2006: 61-80 - [e1]Hamid Krim, Anthony A. Yezzi:
Statistics and Analysis of Shapes. Modeling and Simulation in Science, Engineering and Technology, Birkhäuser / Springer 2006, ISBN 978-0-8176-4376-8 [contents] - 2005
- [j28]A. Ben Hamza, Yun He, Hamid Krim, Alan S. Willsky:
A multiscale approach to pixel-level image fusion. Integr. Comput. Aided Eng. 12(2): 135-146 (2005) - [j27]Gozde B. Unal, Hamid Krim, Anthony J. Yezzi:
Fast incorporation of optical flow into active polygons. IEEE Trans. Image Process. 14(6): 745-759 (2005) - [j26]Oleg V. Poliannikov, Hamid Krim:
Identification of a discrete planar symmetric shape from a single noisy view. IEEE Trans. Image Process. 14(12): 2051-2059 (2005) - [c47]Sajjad Baloch, Hamid Krim, Irina A. Kogan, Dmitry V. Zenkov:
3D object representation with topo-geometric shape models. EUSIPCO 2005: 1-4 - [c46]Yang Wu, Hamid Krim, Hongyu An, Weili Lin:
An independent component analysis approach to perfusion weighted imaging. ICASSP (5) 2005: 777-780 - [c45]Sajjad Baloch, Hamid Krim, Irina A. Kogan, Dmitry V. Zenkov:
Rotation invariant topology coding of 2D and 3D objects using Morse theory. ICIP (3) 2005: 796-799 - [c44]Sajjad Baloch, Hamid Krim, Washington Mio, Anuj Srivastava:
3D curve interpolation and object reconstruction. ICIP (2) 2005: 982-985 - [c43]A. Ben Hamza, Hamid Krim:
Probabilistic shape descriptor for triangulated surfaces. ICIP (1) 2005: 1041-1044 - [p1]Gozde B. Unal, Anthony J. Yezzi, Hamid Krim:
Efficient Incorporation of Optical Flow into Visual Motion Estimation in Tracking. Machine Learning and Robot Perception 2005: 167-202 - 2004
- [j25]A. Ben Hamza, Hamid Krim, Josiane Zerubia:
A Nonlinear Entropic Variational Model for Image Filtering. EURASIP J. Adv. Signal Process. 2004(16): 2408-2422 (2004) - [j24]Gozde B. Unal, Anthony J. Yezzi, Hamid Krim:
Information-Theoretic Active Polygons for Unsupervised Texture Segmentation. Int. J. Comput. Vis. 62(3): 199-220 (2004) - [j23]Yufang Bao, Hamid Krim:
Smart Nonlinear Diffusion: A Probabilistic Approach. IEEE Trans. Pattern Anal. Mach. Intell. 26(1): 63-72 (2004) - [c42]Sajjad H. Baloch, Hamid Krim:
Classification and sampling of shapes through semiparametric Skew-Symmetric Shape Model. EUSIPCO 2004: 365-368 - [c41]Sajjad Baloch, Hamid Krim:
Semiparametric skew-symmetric modeling of planar shapes. ICASSP (2) 2004: 525-528 - 2003
- [j22]Jun Zhang, X. Zhang, Hamid Krim, Gilbert G. Walter:
Object representation and recognition in shape spaces. Pattern Recognit. 36(5): 1143-1154 (2003) - [j21]Amel Benazza-Benyahia, Jean-Christophe Pesquet, Hamid Krim:
A nonlinear diffusion-based three-band filter bank. IEEE Signal Process. Lett. 10(12): 360-363 (2003) - [j20]Bilge Karaçali, Hamid Krim:
Fast minimization of structural risk by nearest neighbor rule. IEEE Trans. Neural Networks 14(1): 127-137 (2003) - [j19]Yun He, A. Ben Hamza, Hamid Krim:
A generalized divergence measure for robust image registration. IEEE Trans. Signal Process. 51(5): 1211-1220 (2003) - [c40]A. Ben Hamza, Hamid Krim:
Geodesic Object Representation and Recognition. DGCI 2003: 378-387 - [c39]A. Ben Hamza, Hamid Krim:
Image Registration and Segmentation. EMMCVPR 2003: 147-163 - [c38]A. Ben Hamza, Hamid Krim, Bilge Karaçali:
Structural risk minimization using nearest neighbor rule. ICASSP (6) 2003: 161-164 - [c37]Aysegul Gunduz, Hamid Krim, P. Allan Sadowski:
Compression and transmission of facial images over very narrowband wireless channels. ICASSP (5) 2003: 704-707 - [c36]A. Ben Hamza, Hamid Krim:
Robust influence functionals for image filtering. ICIP (3) 2003: 361-364 - [c35]Aysegul Gunduz, Hamid Krim:
Facial feature extraction using topological methods. ICIP (1) 2003: 673-676 - [c34]A. Ben Hamza, Hamid Krim:
Topological modeling of illuminated surfaces using Reeb graph. ICIP (1) 2003: 769-772 - [c33]Abdessamad Ben Hamza, Hamid Krim, Bilge Karaçali:
Structural risk minimization using nearest neighbor rule. ICME 2003: 829-832 - 2002
- [j18]Alfred O. Hero III, Hamid Krim:
Mathematical methods in imaging. IEEE Signal Process. Mag. 19(5): 13-14 (2002) - [j17]A. Ben Hamza, Hamid Krim, Gozde B. Unal:
Unifying probabilistic and variational estimation. IEEE Signal Process. Mag. 19(5): 37-47 (2002) - [j16]Yun He, Hamid Krim:
Multiscale signal enhancement: beyond the normality and independence assumption. IEEE Trans. Image Process. 11(4): 423-433 (2002) - [j15]Gozde B. Unal, Hamid Krim, Anthony J. Yezzi:
Stochastic differential equations and geometric flows. IEEE Trans. Image Process. 11(12): 1405-1416 (2002) - [c32]Gozde B. Unal, Hamid Krim, Anthony J. Yezzi:
Active Polygon for Object Tracking. 3DPVT 2002: 696-699 - [c31]Byeong Rae Lee, A. Ben Hamza, Hamid Krim:
An active contour model for image segmentation: A variational perspective. ICASSP 2002: 1585-1588 - [c30]A. Ben Hamza, Hamid Krim:
A topological variational model for image singularities. ICIP (1) 2002: 369-372 - [c29]Gozde B. Unal, Hamid Krim, Anthony J. Yezzi:
A vertex-based representation of objects in an image. ICIP (1) 2002: 896-899 - [c28]Oleg V. Poliannikov, Hamid Krim:
Parameterization models for sampling planar curves. Image Processing: Algorithms and Systems 2002: 92-99 - 2001
- [j14]A. Ben Hamza, Hamid Krim:
Image denoising: a nonlinear robust statistical approach. IEEE Trans. Signal Process. 49(12): 3045-3054 (2001) - [c27]A. Ben Hamza, Hamid Krim:
A Variational Approach to Maximum a Posteriori Estimation for Image Denoising. EMMCVPR 2001: 19-33 - [c26]Yufang Bao, Hamid Krim:
Bridging scale-space to multiscale frame analyses. ICASSP 2001: 1953-1956 - [c25]A. Ben Hamza, Hamid Krim:
Nonlinear image filtering: trade-off between optimality and practicality. ICIP (3) 2001: 126-129 - [c24]A. Ben Hamza, Hamid Krim:
Towards a unified view of estimation: variational vs. statistical. ICIP (2) 2001: 577-580 - 2000
- [j13]Ilya Pollak, Alan S. Willsky, Hamid Krim:
Image segmentation and edge enhancement with stabilized inverse diffusion equations. IEEE Trans. Image Process. 9(2): 256-266 (2000) - [c23]Gozde B. Unal, Hamid Krim, Anthony J. Yezzi:
A stochastic flow for feature extraction. ICASSP 2000: 277-280 - [c22]Gozde B. Unal, Hamid Krim, Anthony J. Yezzi:
Feature-Preserving Flows: A Stochastic Differential Equation's View. ICIP 2000: 896-899
1990 – 1999
- 1999
- [j12]Hamid Krim, Walter Willinger, Anatoli B. Juditsky, David N. C. Tse:
Introduction to Special Issue on Mutliscale Statistical Signal Analysis and Its Application. IEEE Trans. Inf. Theory 45(3): 825-827 (1999) - [j11]Hamid Krim, Irvin C. Schick:
Minimax Description Length for Signal Denoising and Optimized Representation. IEEE Trans. Inf. Theory 45(3): 898-908 (1999) - [j10]Hamid Krim, Dewey Tucker, Stéphane Mallat, David L. Donoho:
On denoising and best signal representation. IEEE Trans. Inf. Theory 45(7): 2225-2238 (1999) - [j9]Andrew Kim, Hamid Krim:
Hierarchical stochastic modeling of SAR imagery for segmentation/compression. IEEE Trans. Signal Process. 47(2): 458-468 (1999) - [c21]Hamid Krim, Yufang Bao:
A stochastic diffusion approach to signal denoising. ICASSP 1999: 1773-1776 - [c20]Ilya Pollak, Alan S. Willsky, Hamid Krim:
A nonlinear diffusion equation as a fast and optimal solver of edge detection problems. ICASSP 1999: 3449-3452 - [c19]Hamid Krim, Yufang Bao:
Nonlinear Diffusion: A Probabilistic View. ICIP (2) 1999: 21-25 - [c18]Oleg V. Poliannikov, Yufang Bao, Hamid Krim:
Levy processes for image modelling. NSIP 1999: 204-207 - 1998
- [c17]B. Pouye, Amel Benazza-Benyahia, Ilya Pollak, Jean-Christophe Pesquet, Hamid Krim:
Nonlinear frame-like decompositions. EUSIPCO 1998: 1-4 - [c16]Hamid Krim, Jean-Christophe Pesquet, Irvin C. Schick:
Parsimony and wavelet methods for denoising. ICASSP 1998: 1869-1872 - [c15]Cedric L. Logan, Hamid Krim, Alan S. Willsky:
An Estimation-Theoretic Technique for Motion-Compensated Synthetic-Aperture Array Imaging. ICIP (1) 1998: 9-13 - [c14]Ilya Pollak, Hamid Krim, Alan S. Willsky:
Stabilized Inverse Diffusion Equations and Segmentation of Vector-Valued Images. ICIP (3) 1998: 246-248 - [c13]Jun Zhang, X. Zhang, Hamid Krim:
Invariant Object Recognition by Shape Space Analysis. ICIP (3) 1998: 581-585 - 1997
- [j8]Charles H. Fosgate, Hamid Krim, William W. Irving, William Clement Karl, Alan S. Willsky:
Multiscale segmentation and anomaly enhancement of SAR imagery. IEEE Trans. Image Process. 6(1): 7-20 (1997) - [c12]Irvin C. Schick, Hamid Krim:
Robust wavelet thresholding for noise suppression. ICASSP 1997: 3421-3424 - [c11]Hamid Krim:
On the distributions of optimized multiscale representations. ICASSP 1997: 3673-3676 - [c10]Andrew J. Kim, Hamid Krim, Alan S. Willsky:
Segmentation and Compression of SAR Imagery via Hierarchical Stochastic Modelling. ICIP (3) 1997: 488-491 - [c9]Ilya Pollak, Alan S. Willsky, Hamid Krim:
Scale Space Analysis by Stabilized Inverse Diffusion Equations. Scale-Space 1997: 200-211 - 1996
- [j7]Hamid Krim, Mats Viberg:
Two decades of array signal processing research: the parametric approach. IEEE Signal Process. Mag. 13(4): 67-94 (1996) - [j6]Jean-Christophe Pesquet, Hamid Krim, Hervé Carfantan:
Time-invariant orthonormal wavelet representations. IEEE Trans. Signal Process. 44(8): 1964-1970 (1996) - [j5]Hamid Krim, Philippe Forster:
Projections on unstructured subspaces. IEEE Trans. Signal Process. 44(10): 2634-2637 (1996) - [c8]Jean-Christophe Pesquet, Hamid Krim, David Leporini, E. Hamman:
Bayesian approach to best basis selection. ICASSP 1996: 2634-2637 - [c7]Dana H. Brooks, Hamid Krim, Jean-Christophe Pesquet, Robert S. MacLeod:
Best basis segmentation of ECG signals using novel optimality criteria. ICASSP 1996: 2750-2753 - [c6]Charles H. Fosgate, Hamid Krim, Alan S. Willsky, William Clement Karl:
Multiscale segmentation and anomaly enhancement of SAR imagery. ICIP (3) 1996: 903-906 - 1995
- [j4]Hamid Krim, Jean-Christophe Pesquet:
Multiresolution analysis of a class of nonstationary processes. IEEE Trans. Inf. Theory 41(4): 1010-1020 (1995) - [c5]Hamid Krim, Stéphane Mallat, David L. Donoho, Alan S. Willsky:
Best basis algorithm for signal enhancement. ICASSP 1995: 1561-1564 - 1994
- [j3]Hamid Krim, John G. Proakis:
Smoothed eigenspace-based parameter estimation. Autom. 30(1): 27-38 (1994) - [j2]Hamid Krim, John H. Cozzens:
A data-based enumeration technique for fully correlated signals. IEEE Trans. Signal Process. 42(7): 1662-1668 (1994) - 1993
- [c4]Hamid Krim, Jean-Christophe Pesquet, K. Drouiche:
Tracking nonstationarities with a wavelet transform. ICASSP (1) 1993: 245-248 - 1992
- [j1]Hamid Krim, Philippe Forster, John G. Proakis:
Operator approach to performance analysis of root-MUSIC and root-min-norm. IEEE Trans. Signal Process. 40(7): 1687-1696 (1992) - [c3]Hamid Krim, John G. Proakis:
Further results on smoothed reduced rank subspaces. ICASSP 1992: 237-240 - 1991
- [c2]Hamid Krim, Philippe Forster, John G. Proakis:
Performance analysis of smoothed subspace-based estimation methods. ICASSP 1991: 3053-3056 - 1990
- [c1]Hamid Krim, John H. Cozzens, John G. Proakis:
On spatial smoothing and linear prediction. ICASSP 1990: 2639-2642
Coauthor Index
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