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2020 – today
- 2023
[j18]Yair Mazal
, Hugo Guterman:
Enhanced Error Correction Employing Natural Redundancy of Sensor Data. IEEE Trans. Commun. 71(10): 5675-5685 (2023)- 2020
- [j17]Dan Malowany, Hugo Guterman:
Biologically Inspired Visual System Architecture for Object Recognition in Autonomous Systems. Algorithms 13(7): 167 (2020)
2010 – 2019
- 2019
- [j16]Amir Kolaman, Dan Malowany, Rami R. Hagege, Hugo Guterman:
Light Invariant Video Imaging for Improved Performance of Convolution Neural Networks. IEEE Trans. Circuits Syst. Video Technol. 29(6): 1584-1594 (2019) - [j15]Daniel Meltz, Hugo Guterman:
Functional Safety Verification for Autonomous UGVs - Methodology Presentation and Implementation on a Full-Scale System. IEEE Trans. Intell. Veh. 4(3): 472-485 (2019) - [c13]Oded Yechiel, Hugo Guterman:
Automatic Identification and Switching of Multi-MRAC Systems. ACC 2019: 1078-1083 - 2016
- [c12]Amir Kolaman, Maxim Lvov, Rami R. Hagege, Hugo Guterman:
Amplitude Modulated Video Camera - Light Separation in Dynamic Scenes. CVPR 2016: 3698-3706 - [c11]Oded Yechiel, Hugo Guterman:
IVO Robot Driver. VTC Fall 2016: 1-5 - 2013
- [j14]Amir Egozi, Yosi Keller, Hugo Guterman:
A Probabilistic Approach to Spectral Graph Matching. IEEE Trans. Pattern Anal. Mach. Intell. 35(1): 18-27 (2013) - 2012
- [j13]Oshry Ben-Harush, Itshak Lapidot, Hugo Guterman:
Initialization of Iterative-Based Speaker Diarization Systems for Telephone Conversations. IEEE Trans. Speech Audio Process. 20(2): 414-425 (2012) - [c10]Youval Nehmadi, Orly Kalantyrsky, Hugo Guterman:
Fast Template Matching of Repetitive Objects in Stereoscopy. ICPRAM (2) 2012: 198-205 - 2011
- [c9]Amir Kolaman, Amir Egozi, Hugo Guterman, B. L. Coleman:
Relativity and Contrast Enhancement. IMAGAPP/IVAPP 2011: 94-99 - 2010
- [j12]Amir Egozi, Yosi Keller, Hugo Guterman:
Improving Shape Retrieval by Spectral Matching and Meta Similarity. IEEE Trans. Image Process. 19(5): 1319-1327 (2010) - [c8]Oshry Ben-Harush, Itshak Lapidot, Hugo Guterman:
Incremental diarization of telephone conversations. INTERSPEECH 2010: 2226-2229 - [c7]Oshry Ben-Harush, Itshak Lapidot, Hugo Guterman:
Online Diarization of Telephone Conversations. Odyssey 2010: 23
2000 – 2009
- 2009
- [c6]Oshry Ben-Harush, Itshak Lapidot, Hugo Guterman:
Entropy based overlapped speech detection as a pre-processing stage for speaker diarization. INTERSPEECH 2009: 916-919 - 2008
- [c5]Oshry Ben-Harush, Itshak Lapidot, Hugo Guterman:
Weighted segmental k-means initialization for SOM-based speaker clustering. INTERSPEECH 2008: 24-27 - [p1]Boaz Lerner, Hugo Guterman:
Advanced Developments and Applications of the Fuzzy ARTMAP Neural Network in Pattern Classification. Computational Intelligence Paradigms 2008: 77-107 - 2003
- [j11]Itshak Lapidot, Hugo Guterman:
Dichotomy between clustering performance and minimum distortion in piecewise-dependent-data (PDD) clustering. IEEE Signal Process. Lett. 10(4): 98-100 (2003) - 2002
- [j10]Victor Boskovitz, Hugo Guterman:
An adaptive neuro-fuzzy system for automatic image segmentation and edge detection. IEEE Trans. Fuzzy Syst. 10(2): 247-262 (2002) - [j9]Itshak Lapidot, Hugo Guterman, Arnon Cohen:
Unsupervised speaker recognition based on competition between self-organizing maps. IEEE Trans. Neural Networks 13(4): 877-887 (2002) - 2001
- [c4]Itshak Lapidot, Hugo Guterman:
Resolution limitation in speakers clustering and segmentation problems. Odyssey 2001: 169-174 - [c3]Itshak Lapidot, Hugo Guterman:
VQ-Based Clustering Algorithm of Piecewise- Dependent-Data. WSOM 2001: 95-101 - 2000
- [j8]Hugo Guterman, Youval Nehmadi, Andrei Chistyakov, Jean Soustiel, Hava Hafner, Moshe Feinsod:
Classification of brain-stem trigeminal evoked potentials in multiple sclerosis, minor head injuries and post-concussion syndrome pathologies by similarity measurements. Int. J. Medical Informatics 60(3): 303-318 (2000) - [j7]Boaz Lerner, Hugo Guterman, Mayer E. Aladjem, Its'hak Dinstein:
On the Initialisation of Sammon's Nonlinear Mapping. Pattern Anal. Appl. 3(1): 61-68 (2000)
1990 – 1999
- 1999
- [j6]Boaz Lerner, Hugo Guterman, Mayer E. Aladjem, Its'hak Dinstein:
A comparative study of neural network based feature extraction paradigms. Pattern Recognit. Lett. 20(1): 7-14 (1999) - 1998
- [j5]Boaz Lerner, Hugo Guterman, Mayer E. Aladjem, Its'hak Dinstein, Yitzhak Romem:
On pattern classification with Sammon's nonlinear mapping an experimental study. Pattern Recognit. 31(4): 371-381 (1998) - [j4]Boaz Lerner, Hugo Guterman, Its'hak Dinstein:
A classification-driven partially occluded object segmentation (CPOOS) method with application to chromosome analysis. IEEE Trans. Signal Process. 46(10): 2841-2847 (1998) - 1996
- [c2]Boaz Lerner, Hugo Guterman, Mayer E. Aladjem, Its'hak Dinstein, Yitzhak Romem:
Feature extraction by neural network nonlinear mapping for pattern classification. ICPR 1996: 320-324 - 1995
- [j3]Boaz Lerner, Hugo Guterman, Its'hak Dinstein, Yitzhak Romem:
Human chromosome classification using multilayer perceptron neural network. Int. J. Neural Syst. 6(3): 359-370 (1995) - [j2]Boaz Lerner, Hugo Guterman, Its'hak Dinstein, Yitzhak Romem:
Medial axis transform-based features and a neural network for human chromosome classification. Pattern Recognit. 28(11): 1673-1683 (1995) - 1994
- [j1]Hugo Guterman:
Application of principal component analysis to the design of neural networks. Neural Parallel Sci. Comput. 2(1): 43-54 (1994) - [c1]Boaz Lerner, Hugo Guterman, Its'hak Dinstein, Yitzhak Romem:
Feature selection and learning curves of a multilayer perceptron chromosome classifier. ICPR (2) 1994: 497-499
Coauthor Index
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