Hugo Guterman - researchr alias

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Viewing Publication 1 - 32 from 32

2023

Enhanced Error Correction Employing Natural Redundancy of Sensor DataYair Mazal, Hugo Guterman. tcom, 71(10):5675-5685, October 2023. [doi]

2020

Biologically Inspired Visual System Architecture for Object Recognition in Autonomous SystemsDan Malowany, Hugo Guterman. algorithms, 13(7):167, 2020. [doi]

2019

Light Invariant Video Imaging for Improved Performance of Convolution Neural NetworksAmir Kolaman, Dan Malowany, Rami R. Hagege, Hugo Guterman. tcsv, 29(6):1584-1594, 2019. [doi]

Functional Safety Verification for Autonomous UGVs - Methodology Presentation and Implementation on a Full-Scale SystemDaniel Meltz, Hugo Guterman. tiv, 4(3):472-485, 2019. [doi]

Automatic Identification and Switching of Multi-MRAC SystemsOded Yechiel, Hugo Guterman. amcc 2019: 1078-1083 [doi]

2016

Amplitude Modulated Video Camera - Light Separation in Dynamic ScenesAmir Kolaman, Maxim Lvov, Rami R. Hagege, Hugo Guterman. cvpr 2016: 3698-3706 [doi]

IVO Robot DriverOded Yechiel, Hugo Guterman. vtc 2016: 1-5 [doi]

2013

A Probabilistic Approach to Spectral Graph MatchingAmir Egozi, Yosi Keller, Hugo Guterman. pami, 35(1):18-27, 2013. [doi]

2012

Initialization of Iterative-Based Speaker Diarization Systems for Telephone ConversationsOshry Ben-Harush, Itshak Lapidot, Hugo Guterman. taslp, 20(2):414-425, 2012. [doi]

Fast Template Matching of Repetitive Objects in StereoscopyYouval Nehmadi, Orly Kalantyrsky, Hugo Guterman. icpram 2012: 198-205

2011

Relativity and Contrast EnhancementAmir Kolaman, Amir Egozi, Hugo Guterman, B. L. Coleman. imagapp 2011: 94-99

2010

Incremental diarization of telephone conversationsOshry Ben-Harush, Itshak Lapidot, Hugo Guterman. interspeech 2010: 2226-2229 [doi]

Online Diarization of Telephone ConversationsOshry Ben-Harush, Itshak Lapidot, Hugo Guterman. odyssey 2010: 23 [doi]

Improving Shape Retrieval by Spectral Matching and Meta SimilarityAmir Egozi, Yosi Keller, Hugo Guterman. TIP, 19(5):1319-1327, 2010. [doi]

2009

Entropy based overlapped speech detection as a pre-processing stage for speaker diarizationOshry Ben-Harush, Itshak Lapidot, Hugo Guterman. interspeech 2009: 916-919 [doi]

2008

Weighted segmental k-means initialization for SOM-based speaker clusteringOshry Ben-Harush, Itshak Lapidot, Hugo Guterman. interspeech 2008: 24-27 [doi]

Advanced Developments and Applications of the Fuzzy ARTMAP Neural Network in Pattern ClassificationBoaz Lerner, Hugo Guterman. In Lakhmi C. Jain, Mika Sato-Ilic, Maria Virvou, George A. Tsihrintzis, Valentina Emilia Balas, Canicious Abeynayake, editors, Computational Intelligence Paradigms, Innovative Applications. Volume 137 of Studies in Computational Intelligence, pages 77-107, Springer, 2008. [doi]

2003

Dichotomy between clustering performance and minimum distortion in piecewise-dependent-data (PDD) clusteringItshak Lapidot, Hugo Guterman. spl, 10(4):98-100, 2003. [doi]

2002

An adaptive neuro-fuzzy system for automatic image segmentation and edge detectionVictor Boskovitz, Hugo Guterman. tfs, 10(2):247-262, 2002. [doi]

Unsupervised speaker recognition based on competition between self-organizing mapsItshak Lapidot, Hugo Guterman, Arnon Cohen. tnn, 13(4):877-887, 2002. [doi]

2001

Resolution limitation in speakers clustering and segmentation problemsItshak Lapidot, Hugo Guterman. odyssey 2001: 169-174 [doi]

VQ-Based Clustering Algorithm of Piecewise- Dependent-DataItshak Lapidot, Hugo Guterman. wsom 2001: 95-101 [doi]

2000

Classification of brain-stem trigeminal evoked potentials in multiple sclerosis, minor head injuries and post-concussion syndrome pathologies by similarity measurementsHugo Guterman, Youval Nehmadi, Andrei Chistyakov, Jean Soustiel, Hava Hafner, Moshe Feinsod. ijmi, 60(3):303-318, 2000. [doi]

On the Initialisation of Sammon s Nonlinear MappingBoaz Lerner, Hugo Guterman, Mayer Aladjem, Its hak Dinstein. paa, 3(1):61-68, 2000. [doi]

1999

A comparative study of neural network based feature extraction paradigmsBoaz Lerner, Hugo Guterman, Mayer Aladjem, Its hak Dinstein. prl, 20(1):7-14, 1999. [doi]

1998

On pattern classification with Sammon s nonlinear mapping an experimental studyBoaz Lerner, Hugo Guterman, Mayer Aladjem, Its hak Dinstein, Yitzhak Romem. PR, 31(4):371-381, 1998. [doi]

A classification-driven partially occluded object segmentation (CPOOS) method with application to chromosome analysisBoaz Lerner, Hugo Guterman, Its'hak Dinstein. tsp, 46(10):2841-2847, 1998. [doi]

1996

Feature extraction by neural network nonlinear mapping for pattern classificationBoaz Lerner, Hugo Guterman, Mayer Aladjem, Its'hak Dinstein, Yitzhak Romem. icpr 1996: 320-324 [doi]

1995

Medial axis transform-based features and a neural network for human chromosome classificationBoaz Lerner, Hugo Guterman, Its hak Dinstein, Yitzhak Romem. PR, 28(11):1673-1683, 1995. [doi]

Human chromosome classification using multilayer perceptron neural networkBoaz Lerner, Hugo Guterman, Its hak Dinstein, Yitzhak Romem. IJNS, 6(3):359-370, 1995. [doi]

1994

Application of principal component analysis to the design of neural networksHugo Guterman. npsc, 2(1):43-54, 1994. [doi]

Feature selection and learning curves of a multilayer perceptron chromosome classifierBoaz Lerner, Hugo Guterman, Its'hak Dinstein, Yitzhak Romem. icpr 1994: 497-499 [doi]

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