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ORCIDBenyamin Ghojogh
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2020 – today
- 2023
[b2]Benyamin Ghojogh
, Mark Crowley, Fakhri Karray, Ali Ghodsi:
Elements of Dimensionality Reduction and Manifold Learning. Springer 2023, ISBN 978-3-031-10601-9, pp. 1-596- [i55]Benyamin Ghojogh, Ali Ghodsi:
Recurrent Neural Networks and Long Short-Term Memory Networks: Tutorial and Survey. CoRR abs/2304.11461 (2023) - [i54]Benyamin Ghojogh, Morteza Babaie:
On Philomatics and Psychomatics for Combining Philosophy and Psychology with Mathematics. CoRR abs/2308.13738 (2023) - [i53]Benyamin Ghojogh, Milad Amir Toutounchian:
Probabilistic Classification by Density Estimation Using Gaussian Mixture Model and Masked Autoregressive Flow. CoRR abs/2310.10843 (2023) - 2022
- [c22]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Theoretical Connection between Locally Linear Embedding, Factor Analysis, and Probabilistic PCA. Canadian AI 2022 - [i52]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Spectral, Probabilistic, and Deep Metric Learning: Tutorial and Survey. CoRR abs/2201.09267 (2022) - [i51]Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
On Manifold Hypothesis: Hypersurface Submanifold Embedding Using Osculating Hyperspheres. CoRR abs/2202.01619 (2022) - [i50]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Theoretical Connection between Locally Linear Embedding, Factor Analysis, and Probabilistic PCA. CoRR abs/2203.13911 (2022) - [i49]Benyamin Ghojogh:
Affective Manifolds: Modeling Machine's Mind to Like, Dislike, Enjoy, Suffer, Worry, Fear, and Feel Like A Human. CoRR abs/2208.13386 (2022) - [i48]Benyamin Ghojogh, Smriti Sharma:
Gravitational Dimensionality Reduction Using Newtonian Gravity and Einstein's General Relativity. CoRR abs/2211.01369 (2022) - 2021
- [b1]Benyamin Ghojogh:
Data Reduction Algorithms in Machine Learning and Data Science. University of Waterloo, Ontario, Canada, 2021 - [j2]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Generative locally linear embedding: A module for manifold unfolding and visualization. Softw. Impacts 9: 100105 (2021) - [c21]Reza Godaz, Benyamin Ghojogh, Reshad Hosseini, Reza Monsefi, Fakhri Karray, Mark Crowley:
Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds. ACML 2021: 1-16 - [c20]Milad Sikaroudi, Benyamin Ghojogh, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh:
Magnification Generalization For Histopathology Image Embedding. ISBI 2021: 1864-1868 - [i47]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Factor Analysis, Probabilistic Principal Component Analysis, Variational Inference, and Variational Autoencoder: Tutorial and Survey. CoRR abs/2101.00734 (2021) - [i46]Milad Sikaroudi, Benyamin Ghojogh, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh:
Magnification Generalization for Histopathology Image Embedding. CoRR abs/2101.07757 (2021) - [i45]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Generative Locally Linear Embedding. CoRR abs/2104.01525 (2021) - [i44]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Laplacian-Based Dimensionality Reduction Including Spectral Clustering, Laplacian Eigenmap, Locality Preserving Projection, Graph Embedding, and Diffusion Map: Tutorial and Survey. CoRR abs/2106.02154 (2021) - [i43]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Reproducing Kernel Hilbert Space, Mercer's Theorem, Eigenfunctions, Nyström Method, and Use of Kernels in Machine Learning: Tutorial and Survey. CoRR abs/2106.08443 (2021) - [i42]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Unified Framework for Spectral Dimensionality Reduction, Maximum Variance Unfolding, and Kernel Learning By Semidefinite Programming: Tutorial and Survey. CoRR abs/2106.15379 (2021) - [i41]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Restricted Boltzmann Machine and Deep Belief Network: Tutorial and Survey. CoRR abs/2107.12521 (2021) - [i40]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Johnson-Lindenstrauss Lemma, Linear and Nonlinear Random Projections, Random Fourier Features, and Random Kitchen Sinks: Tutorial and Survey. CoRR abs/2108.04172 (2021) - [i39]Reza Godaz, Benyamin Ghojogh, Reshad Hosseini, Reza Monsefi, Fakhri Karray, Mark Crowley:
Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds. CoRR abs/2108.11019 (2021) - [i38]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Uniform Manifold Approximation and Projection (UMAP) and its Variants: Tutorial and Survey. CoRR abs/2109.02508 (2021) - [i37]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
KKT Conditions, First-Order and Second-Order Optimization, and Distributed Optimization: Tutorial and Survey. CoRR abs/2110.01858 (2021) - [i36]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Sufficient Dimension Reduction for High-Dimensional Regression and Low-Dimensional Embedding: Tutorial and Survey. CoRR abs/2110.09620 (2021) - [i35]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey. CoRR abs/2111.13282 (2021) - 2020
- [j1]Benyamin Ghojogh, Saber Salehkaleybar:
Distributed voting in beep model. Signal Process. 177: 107732 (2020) - [c19]Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Anomaly Detection and Prototype Selection Using Polyhedron Curvature. Canadian AI 2020: 238-250 - [c18]Mohammad Hossein Basiri, Benyamin Ghojogh, Nasser L. Azad, Sebastian Fischmeister, Fakhri Karray, Mark Crowley:
Distributed Nonlinear Model Predictive Control and Metric Learning for Heterogeneous Vehicle Platooning with Cut-in/Cut-out Maneuvers. CDC 2020: 2849-2856 - [c17]Milad Sikaroudi, Amir Safarpoor, Benyamin Ghojogh, Sobhan Shafiei, Mark Crowley, Hamid R. Tizhoosh:
Supervision and Source Domain Impact on Representation Learning: A Histopathology Case Study. EMBC 2020: 1400-1403 - [c16]Benyamin Ghojogh, Milad Sikaroudi, Hamid R. Tizhoosh, Fakhri Karray, Mark Crowley:
Weighted Fisher Discriminant Analysis in the Input and Feature Spaces. ICIAR (2) 2020: 3-15 - [c15]Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Backprojection for Training Feedforward Neural Networks in the Input and Feature Spaces. ICIAR (2) 2020: 16-24 - [c14]Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Theoretical Insights into the Use of Structural Similarity Index in Generative Models and Inferential Autoencoders. ICIAR (2) 2020: 112-117 - [c13]Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Generalized Subspace Learning by Roweis Discriminant Analysis. ICIAR (1) 2020: 328-342 - [c12]Milad Sikaroudi, Benyamin Ghojogh, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh:
Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating Theorem. ICPR 2020: 7080-7086 - [c11]Benyamin Ghojogh, Milad Sikaroudi, Sobhan Shafiei, Hamid R. Tizhoosh, Fakhri Karray, Mark Crowley:
Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks. IJCNN 2020: 1-7 - [c10]Milad Sikaroudi, Benyamin Ghojogh, Amir Safarpoor, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh:
Offline Versus Online Triplet Mining Based on Extreme Distances of Histopathology Patches. ISVC (1) 2020: 333-345 - [c9]Haoran Ma, Benyamin Ghojogh, Maria N. Samad, Dongyu Zheng, Mark Crowley:
Isolation Mondrian Forest for Batch and Online Anomaly Detection. SMC 2020: 3051-3058 - [i34]Haoran Ma, Benyamin Ghojogh, Maria N. Samad, Dongyu Zheng, Mark Crowley:
Isolation Mondrian Forest for Batch and Online Anomaly Detection. CoRR abs/2003.03692 (2020) - [i33]Mohammad Hossein Basiri, Benyamin Ghojogh, Nasser L. Azad, Sebastian Fischmeister, Fakhri Karray, Mark Crowley:
Distributed Nonlinear Model Predictive Control and Metric Learning for Heterogeneous Vehicle Platooning with Cut-in/Cut-out Maneuvers. CoRR abs/2004.00417 (2020) - [i32]Benyamin Ghojogh, Milad Sikaroudi, Hamid R. Tizhoosh, Fakhri Karray, Mark Crowley:
Weighted Fisher Discriminant Analysis in the Input and Feature Spaces. CoRR abs/2004.01857 (2020) - [i31]Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Theoretical Insights into the Use of Structural Similarity Index In Generative Models and Inferential Autoencoders. CoRR abs/2004.01864 (2020) - [i30]Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Anomaly Detection and Prototype Selection Using Polyhedron Curvature. CoRR abs/2004.02137 (2020) - [i29]Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Backprojection for Training Feedforward Neural Networks in the Input and Feature Spaces. CoRR abs/2004.04573 (2020) - [i28]Benyamin Ghojogh, Milad Sikaroudi, Sobhan Shafiei, Hamid R. Tizhoosh, Fakhri Karray, Mark Crowley:
Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks. CoRR abs/2004.04674 (2020) - [i27]Milad Sikaroudi, Amir Safarpoor, Benyamin Ghojogh, Sobhan Shafiei, Mark Crowley, Hamid R. Tizhoosh:
Supervision and Source Domain Impact on Representation Learning: A Histopathology Case Study. CoRR abs/2005.08629 (2020) - [i26]Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Quantile-Quantile Embedding for Distribution Transformation, Manifold Embedding, and Image Embedding with Choice of Embedding Distribution. CoRR abs/2006.11385 (2020) - [i25]Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Roweisposes, Including Eigenposes, Supervised Eigenposes, and Fisherposes, for 3D Action Recognition. CoRR abs/2006.15736 (2020) - [i24]Milad Sikaroudi, Benyamin Ghojogh, Amir Safarpoor, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh:
Offline versus Online Triplet Mining based on Extreme Distances of Histopathology Patches. CoRR abs/2007.02200 (2020) - [i23]Milad Sikaroudi, Benyamin Ghojogh, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh:
Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating Theorem. CoRR abs/2007.05610 (2020) - [i22]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Multidimensional Scaling, Sammon Mapping, and Isomap: Tutorial and Survey. CoRR abs/2009.08136 (2020) - [i21]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Stochastic Neighbor Embedding with Gaussian and Student-t Distributions: Tutorial and Survey. CoRR abs/2009.10301 (2020) - [i20]Parisa Abdolrahim Poorheravi, Benyamin Ghojogh, Vincent C. Gaudet, Fakhri Karray, Mark Crowley:
Acceleration of Large Margin Metric Learning for Nearest Neighbor Classification Using Triplet Mining and Stratified Sampling. CoRR abs/2009.14244 (2020) - [i19]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Locally Linear Embedding and its Variants: Tutorial and Survey. CoRR abs/2011.10925 (2020)
2010 – 2019
- 2019
- [c8]Hadi NekoeiQachkanloo, Benyamin Ghojogh, Ali Saheb Pasand, Mark Crowley:
Artificial Counselor System for Stock Investment. AAAI 2019: 9558-9564 - [c7]Benyamin Ghojogh, Mark Crowley:
Instance Ranking and Numerosity Reduction Using Matrix Decomposition and Subspace Learning. Canadian AI 2019: 160-172 - [c6]Benyamin Ghojogh:
Principal Sample Analysis for Data Ranking. Canadian AI 2019: 579-583 - [c5]Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Image Structure Subspace Learning Using Structural Similarity Index. ICIAR (1) 2019: 33-44 - [c4]Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Principal Component Analysis Using Structural Similarity Index for Images. ICIAR (1) 2019: 77-88 - [c3]Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Locally Linear Image Structural Embedding for Image Structure Manifold Learning. ICIAR (1) 2019: 126-138 - [i18]Benyamin Ghojogh, Aydin Ghojogh, Mark Crowley, Fakhri Karray:
Fitting A Mixture Distribution to Data: Tutorial. CoRR abs/1901.06708 (2019) - [i17]Hadi NekoeiQachkanloo, Benyamin Ghojogh, Ali Saheb Pasand, Mark Crowley:
Artificial Counselor System for Stock Investment. CoRR abs/1903.00955 (2019) - [i16]Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Eigenvalue and Generalized Eigenvalue Problems: Tutorial. CoRR abs/1903.11240 (2019) - [i15]Benyamin Ghojogh, Maria N. Samad, Sayema Asif Mashhadi, Tania Kapoor, Wahab Ali, Fakhri Karray, Mark Crowley:
Feature Selection and Feature Extraction in Pattern Analysis: A Literature Review. CoRR abs/1905.02845 (2019) - [i14]Benyamin Ghojogh, Mark Crowley:
The Theory Behind Overfitting, Cross Validation, Regularization, Bagging, and Boosting: Tutorial. CoRR abs/1905.12787 (2019) - [i13]Benyamin Ghojogh, Mark Crowley:
Linear and Quadratic Discriminant Analysis: Tutorial. CoRR abs/1906.02590 (2019) - [i12]Benyamin Ghojogh, Mark Crowley:
Unsupervised and Supervised Principal Component Analysis: Tutorial. CoRR abs/1906.03148 (2019) - [i11]Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Fisher and Kernel Fisher Discriminant Analysis: Tutorial. CoRR abs/1906.09436 (2019) - [i10]Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Principal Component Analysis Using Structural Similarity Index for Images. CoRR abs/1908.09287 (2019) - [i9]Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Locally Linear Image Structural Embedding for Image Structure Manifold Learning. CoRR abs/1908.09288 (2019) - [i8]Benyamin Ghojogh, Ali Saheb Pasand, Fakhri Karray, Mark Crowley:
Quantized Fisher Discriminant Analysis. CoRR abs/1909.03037 (2019) - [i7]Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Roweis Discriminant Analysis: A Generalized Subspace Learning Method. CoRR abs/1910.05437 (2019) - [i6]Benyamin Ghojogh, Saber Salehkaleybar:
Distributed Voting in Beep Model. CoRR abs/1910.09882 (2019) - 2018
- [c2]Sriram Ganapathi Subramanian, Jaspreet Singh Sambee, Benyamin Ghojogh, Mark Crowley:
Decision Assist for Self-driving Cars. Canadian AI 2018: 381-387 - [c1]Benyamin Ghojogh, Mark Crowley:
Principal Sample Analysis for Data Reduction. ICBK 2018: 350-357 - [i5]Hoda Mohammadzade, Amirhossein Sayyafan, Benyamin Ghojogh:
Pixel-Level Alignment of Facial Images for High Accuracy Recognition Using Ensemble of Patches. CoRR abs/1802.02438 (2018) - [i4]Benyamin Ghojogh, Saeed Sharifian:
Pontogammarus Maeoticus Swarm Optimization: A Metaheuristic Optimization Algorithm. CoRR abs/1807.01844 (2018) - [i3]Benyamin Ghojogh, Saeed Sharifian, Hoda Mohammadzade:
Tree-Based Optimization: A Meta-Algorithm for Metaheuristic Optimization. CoRR abs/1809.09284 (2018) - 2017
- [i2]Mozhgan Mokari, Hoda Mohammadzade, Benyamin Ghojogh:
Recognizing Involuntary Actions from 3D Skeleton Data Using Body States. CoRR abs/1708.06227 (2017) - [i1]Benyamin Ghojogh, Saeed Bagheri Shouraki, Hoda Mohammadzade, Ensieh Iranmehr:
A Fusion-based Gender Recognition Method Using Facial Images. CoRR abs/1711.06451 (2017)
Coauthor Index
[b2] [c22] [i52] [i51] [i50] [j2] [c21] [c20] [i47] [i46] [i45] [i44] [i43] [i42] [i41] [i40] [i39] [i38] [i37] [i36] [i35] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [c8] [c7] [c5] [c4] [c3] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [c2] [c1]
[b2] [c22] [i52] [i51] [i50] [j2] [c21] [c20] [i47] [i46] [i45] [i44] [i43] [i42] [i41] [i40] [i39] [i38] [i37] [i36] [i35] [c19] [c18] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [i33] [i32] [i31] [i30] [i29] [i28] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [c5] [c4] [c3] [i18] [i16] [i15] [i11] [i10] [i9] [i8] [i7]
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