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Publications

Thesis

 

[3]            H. Sahbi
Machine Learning for Image Interpretation and Search
Habilitation thesis, University of Pierre and Marie Curie, Paris, France, June 2011.

[2]            H. Sahbi
Coarse to fine Support Vector Machines for Hierarchical Face Detection (PDF)
Ph.D. Thesis, Applied Mathematics and Computer Science, INRIA and Versailles University, France , April 2003.
Supervisor Professor D. Geman

[1]            H. Sahbi
3D Face Reconstruction using stereo and photometric models
M.S. Thesis, Electrical Engineering and Computer Science, LRI, University of Orsay (Paris Sud), France, July 99.

Journal Papers, Books and Book Chapters

 

[18]            M. Jiu and H. Sahbi
Nonlinear Deep Kernel Learning for Image Annotation (PDF) (DL)
in the IEEE Transactions on Image Processing (ACCEPTED, to appear, 2017).

[17]            Q. Oliveau and H. Sahbi
Learning Attribute Representations for Remote Sensing Ship Category Classification (PDF) (DL)
in the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (ACCEPTED, to appear, 2017).

[16]            H. Sahbi
Interactive Satellite Image Change Detection with Context-Aware Canonical Correlation Analysis (PDF) (DL)
in the IEEE Geoscience and Remote Sensing (ACCEPTED, to appear, 2017).

[15]            M. Nadil, F. Souami, A. Labed and H. Sahbi
KCCA-based profile face identification (PDF), (DL)
in EURASIP Journal on Image and Video Processing, volume 2, 2017.

[14]            H. Sahbi
ImageCLEF Annotation with Explicit Context-Aware Kernel Maps (PDF), (DL)
in the International Journal of Multimedia Information Retrieval (IJMIR), Springer , mars 2015.

[13]            G-V. Gadhiraju, H. Sahbi, B. Banarjee and K-M Buddhiraju
Supervised Change Detection in Satellite Imagery Using Superpixels and Relevance Feedback (PDF)
GEOMATICA Journal, 68(1): 5-14, 2014.

[12]            H. Sahbi, L. Ballan, G. Serra and A. DelBimbo
Context-Dependent Logo Matching and Recognition (PDF)
In IEEE Transactions on Image Processing, volume 22, number 3, pages 1018-1031, 2013.

[11]            F. Yuan, G-S. Xia, H. Sahbi and V. Prinet
Mid-level features & spatio-temporal context for activity recognition (PDF)
In the Pattern Recognition journal, Elsevier, vol 45, issue 12, december 2012.

[10]            H. Sahbi, J-Y. Audibert and R. Keriven
Context-Dependent Kernels for Object Classification (PDF)
In the IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), volume 33, number 4, April 2011.

[9]            H. Sahbi, X. Li, S. Tollari, H. Glotin, P. Mulhem, A. Fakeri-Tabrizi, Z. Zhong-Qiu and P. Gallinari
Machine Learning for Image Annotation (HAL Link)
In Hermes Eds , 2011.

[8]            B. Zagar, A. Kuijper, and H. Sahbi
Signal Processing, Pattern Recognition and Applications, Proceedings of the 7th International Conference (link)
B. Zagar, A. Kuijper, and H. Sahbi, eds., Acta Press, 2010, ISBN: 978-0-88986-822-9.

[7]            T. Napoleon and H. Sahbi
From 2D Silhouettes to 3D Object Retrieval: Contributions and Benchmarking (PDF)
Eurasip Journal on Image and Video Processing, 2010.

[6]            S. Tollari, P. Mulhem, M. Ferecatu, G. Hervé, M. Detyniecki, P. Gallinari, H. Sahbi and Z.-Q. Zhao
A Comparative Study of Diversity Methods for Different Text and Image Retrieval Approaches (PDF)
CLEF 2008, Springer, 2009.

[5]            H. Sahbi
A Particular Gaussian Mixture Model for Clustering and its Application to Image Retrieval (PDF)
Journal of Applied Intelligence. Special issue on Neural Networks for Data Mining and Pattern Recognition , volume 12, Issue 7, February 2008.

[4]            H. Sahbi
Kernel PCA for Similarity Invariant Shape Recognition (PDF)
Journal of Neurocomputing, Elsevier, Volume/Issue 70/16-18 pages 3034-3045, November 2006.

[3]            H. Sahbi and D. Geman
A hierarchy of support vector machines for Face detection (PDF)
Journal of Machine Learning Research (JMLR) , Volume 7, 2087--2123, October, 2006.

[2]            H. Sahbi and N.Boujemaa
Fuzzy Clustering: Consistency of Entropy Regularization (DL) (PDF)
Computational Intelligence, Theory and Applications, Advances in Soft Computing, volum 33, 2005.

[1]            F. Fleuret and H. Sahbi
Coarse to Fine Object Detection (PDF)
In ERCIM Journal . Special Theme on Machine Perception, N 55, October, 2003.

Conferences and Reports

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[88]        Q. Oliveau and H. Sahbi
Transductive attributes for ship category recognition (oral paper, accepted, to appear)
In the proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017.

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[87]        T. Postadjian, A. Le-Bris, C. Mallet and H. Sahbi
Investigating the potential of deep neural networks for large-scale classification of very high resolution satellite images (accepted, to appear)
In the ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017.

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[86]        M. Jiu and H. Sahbi
Laplacian deep kernel learning for image annotation (poster paper)
In the proceedings of the IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP), 2016.

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[85]        M. Jiu and H. Sahbi
Deep kernel map networks for image annotation (poster paper)
In the proceedings of the IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP), 2016.

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[84]        Q. Oliveau, H. Sahbi
Attribute learning for ship category recognition in remote sensing imagery (oral paper)
In the proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016.

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[83]        H. Sahbi
CNRS TELECOM ParisTech at ImageCLEF 2016 Scalable Concept Image Annotation Task: Overcoming the Scarcity of Training Data (invited oral)
In the proceedings of the Conference and Labs of the Evaluation forum (CLEF), 2016.

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[82]        Q. Oliveau and H. Sahbi
Semantic-free Attributes for Image Classification (poster paper)
In the proceedings of the IAPR International Conference on Pattern Recognition (ICPR), 2016.

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[81]        H. Sahbi
Misalignment Resilient CCA for Interactive Satellite Image Change Detection (oral paper)
In the proceedings of the IAPR International Conference on Pattern Recognition (ICPR), 2016.

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[80]        M. Jiu and H. Sahbi
Semi supervised deep kernel design for image annotation (oral paper)
In the proceedings of the IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP), 2015.

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[79]        A. Dutta and H. Sahbi
High order graphlets for pattern classification (poster paper)
In the proceedings of the IAPR Asian Conference on Pattern Recognition (ACPR), 2015.

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[78]        H. Sahbi
CNRS TELECOM ParisTech at ImageCLEF 2015 Scalable Concept Image Annotation Task: Concept Detection with Blind Localization Proposals (invited oral)
In the proceedings of the Conference and Labs of the Evaluation forum (CLEF), 2015.

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[77]        H. Sahbi
Discriminant canonical correlation analysis for interactive satellite image change detection (oral paper)
In the proceedings of the IEEE International Geoscience and Remote Sensing Symposium, (IGARSS), 2015.

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[76]        E. Benhai, H. Sahbi and G. Vitte
Continuous visual speech recognition for audio speech enhancement (oral paper)
In the proceedings of the IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP), 2015.

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[75]        P. Vo and H. Sahbi
Contextual kernel map learning for scene transduction (oral paper)
In the proceedings of the IEEE International Conference on Image Processing (ICIP), 2015.

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[74]        H. Sahbi
Finite State Machines for Structured Scene Decoding (oral + poster paper)
RLCO - Neural Information Processing Systems (NIPS), 2014.

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[73]        L. Wang and H. Sahbi
Nonlinear Cross-View Sample Enrichment for Action Recognition (oral paper)
In the proceedings of the TASK-CV'2014 workshop, the European Conference on Computer Vision (ECCV), 2014.

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[72]        P. Vo and H. Sahbi
Modeling Label Dependencies in Kernel Learning for Image Annotation (poster paper)
In the proceedings of the IEEE International Conference on Image Processing (ICIP), 2014.

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[71]        L. Wang and H. Sahbi
Bags-of-Daglets for Action Recognition (poster paper)
In the proceedings of the IEEE International Conference on Image Processing (ICIP), 2014.

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[70]        H. Sahbi
Network-Dependent Image Annotation Based on Explicit Context-Dependent Kernel Maps (oral paper)
In the proceedings of the IAPR International Conference on Pattern Recognition (ICPR), 2014.

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[69]        A. El-Ghoul and H. Sahbi
Semi-Supervised Learning Using a Graph-based Phase Field Model for Imbalanced Data Set Classification (poster paper)
In the proceedings of the IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP), 2014.

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[68]        E. Benhai, H. Sahbi and G. Vitte
Continuous Visual Speech Recognition for Multimodal Fusion (poster paper)
In the proceedings of the IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP), 2014.

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[67]        L. Wang and H. Sahbi
Directed Acyclic Graph Kernels for Action Recognition (poster paper)
In the proceedings of the IEEE International Conference on Computer Vision (ICCV), 2013.

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[66]        H. Sahbi
CNRS - TELECOM ParisTech at ImageCLEF 2013 Scalable Concept Image Annotation Task: Winning Annotations with Context Dependent SVMs (invited oral, challenge winner among 57 participant runs at ImageCLEF 2013)
In the proceedings of the Conference and Labs of the Evaluation Forum (CLEF), 2013.

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[65]        P. Vo and H. Sahbi
Spacious: an Interactive Mental Search Interface (poster paper + demo)
In the proceedings of the international ACM SIGIR conference on research and development in Information Retrieval (SIGIR), 2013.

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[64]        P. Vo and H. Sahbi
Semantic Subspace Learning for Mental Search in Satellite Images (oral, best paper award finalist)
In the proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2013.

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[63]        H. Sahbi
Interactive Satellite Image Change Detection (oral paper)
In the proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2013.

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[62]        H. Sahbi
Explicit Context-Aware Kernel Map Learning for Image Annotation (oral paper)
In the proceedings of the IEEE International Conference on Computer Vision Systems (ICVS), 2013.

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[61]        H. Sahbi
Parsing Images with Finite State Machines for Object Class Segmentation and Annotation (technical report)
Technical report N 2013D003, Telecom ParisTech, 2013.

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[60]        E. Benhai, H. Sahbi and G. Vitte
Designing Relevant Features for Visual Speech Recognition (poster paper)
In the proceedings of the IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP), 2013.

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[59]        H. Sahbi
Relevance Feedback for Satellite Image Change Detection (oral paper)
In the proceedings of the IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP), 2013.

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[58]        P. Vo and H. Sahbi
Transductive Inference & Kernel Design for Object Class Segmentation (oral paper)
In the proceedings of the IEEE International Conference on Image Processing (ICIP), 2012.

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[57]        P. Vo and H. Sahbi
Transductive Kernel Map Learning and its Application to Image Annotation (poster paper)
In the proceedings of the British Machine Vision Conference (BMVC), 2012.

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[56]        N. Bourdis, D. Marraud and H. Sahbi
Spatio-Temporal Interaction For Aerial Video Change Detection (poster paper)
In the proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2012.

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[55]        N. Bourdis, D. Marraud and H. Sahbi
Camera Pose Estimation Using Visual Servoing for Aerial Video Change Detection (oral paper)
In the proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2012.

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[54]        P. Vo and H. Sahbi
Transductive Kernel Learning (technical report)
Telecom Paristech technical report (N 2012D003), 2012.

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[53]        X. Li and H. Sahbi
Superpixel-Based Object Class Segmentation Using Conditional Random Fields (poster paper)
In the proceedings of the IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP), 2011.

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[52]        N. Bourdis, D. Marraud and H. Sahbi
Constrained Optical Flow for Aerial Image Change Detection (oral paper)
In the proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2011.

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[51]        N. Bourdis, H. Sahbi and D. Marraud
Multiple Aerial Videos for Change Detection (technical report in french)
Technical report, Telecom Paristech 2011D007, September 2011.

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[50]        F. Yuan, G-S. Xia, H. Sahbi and V. Prinet
Spatio-Temporal Interest Points Chain (STIPC) for Activity Recognition (oral paper)
In the proceedings of the IAPR Asian Conference on Pattern Recognition (ACPR), 2011.

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[49]        F. Yuan, H. Sahbi and V. Prinet
Spatio-Temporal Context Kernel for Activity Recognition (poster paper)
In the proceedings of the IAPR Asian Conference on Pattern Recognition (ACPR), 2011.

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[48]        H. Sahbi and X. Li
Context Based Support Vector Machines for Interconnected Image Annotation (oral paper, winner of the "Saburo Tsuji" Best Regular Paper Award)
In the proceedings of the Asian Conference on Computer Vision (ACCV), 2010.

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[47]        H. Sahbi and X. Li
TELECOM ParisTech at ImageCLEF 2010 Photo Annotation Task: Combining Tags and Visual Features for Learning-Based Image Annotation (poster paper)
In the proceedings of the Conference and Labs of the Evaluation Forum (CLEF), 2010.

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[46]        H. Sahbi and X. Li
Context Dependent SVMs for Interconnected Image Network Annotation (poster paper)
In the proceedings of the ACM Multimedia, 2010.

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[45]        H. Sahbi and J-Y. Audibert
Network Dependent Kernels for Image Ranking (poster paper)
In the proceedings of the IEEE international conference on image processing (ICIP), September, 2010.

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[44]        X. Li and H. Sahbi
Object Class Segmentation Using Boosted Conditional Random Fields (technical report)
Technical Report, TELECOM ParisTech, 2010D015, June 2010.

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[43]        H. Sahbi, L. Ballan, G. Serra and A. DelBimbo
Context Dependent Logo Matching and Retrieval (technical report)
Technical Report, TELECOM ParisTech, 2010D009 March 2010.

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[42]        T. Napoleon and H. Sahbi
Sketch Driven Mental 3D Object Retrieval (oral paper; see also Youtube video)
In the proceedings of the Electronic Imaging Conference, 3D Image Processing (3DIP) and Applications, January 2010.

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[41]        Y. Han, G. Liu, H. Sahbi and G. Chollet
A Graph Based Approach to Speaker Retrieval in Talk Show Videos with Transcript-Based Supervision (poster paper)
In the proceedings of the Pacific Rim Conference on Multimedia, PCM, pages 962-967, December 2009.

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[40]        M. Ferecatu and H. Sahbi
Multi-View Object Matching and Tracking using Canonical Correlation Analysis (poster paper)
In the proceedings of the IEEE International Conference on Image Processing (ICIP), November 2009.

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[39]        T. Napoleon and H. Sahbi
Content Based 3D Object Retrieval using 2D Views (oral paper)
In the proceedings of the IEEE International Conference on Image Processing (ICIP), November 2009.

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[38]        H. Sahbi and J-Y. Audibert
Social Network Kernel for Image Ranking and Retrieval (report)
research report N 2009D009, TELECOM ParisTech March 2009.

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[37]        T. Napoleon and H. Sahbi
From 2D Photography to 3D Object Retrieval: Contributions and Benchmarking (report)
research report N 2009D008, TELECOM ParisTech Feb 2009.

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[36]        H. Sahbi, J-Y. Audibert and R. Keriven
Incorporating Context and Geometry in Kernel Design (report)
research report N 2009D002, TELECOM ParisTech Jan 2009.

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[35]        S. Tollari, M. Detyniecki, M. Ferecatu, H. Glotin, P. Mulhem, M.R. Amini, A. Fakeri-Tabrizi, P. Gallinari, H. Sahbi and Z-Q. Zhao
Consortium AVEIR at ImageClefphoto 2008: on the fusion of runs (oral + poster paper)
In the proceedings of the Conference and Labs of the Evaluation Forum (CLEF), Sep 2008.

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[34]        M. Ferecatu and H. Sahbi
TELECOM ParisTech at ImageClefphoto 2008: Bi-Modal Text and Image Retrieval with Diversity Enhancement (poster paper)
In the proceedings of the Conference and Labs of the Evaluation Forum (CLEF), Sep 2008.

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[33]        H. Sahbi, J-Y. Audibert, J. Rabarisoa and R. Keriven
Robust Matching and Recognition using Context-Dependent Kernels (oral + poster)
In the proceedings of the International Conference on Machine Learning (ICML), July 2008.

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[32]        H. Sahbi, P. Etyngier, J-Y Audibert and R. Keriven
Manifold Learning using Robust Graph Laplacian for Interactive Image Retrieval (poster paper)
In the proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2008.

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[30]        H. Sahbi, J-Y. Audibert, J. Rabarisoa and R. Keriven
Context-Dependent Kernel Design for Object Matching and Recognition (poster paper)
In the proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2008.

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[29]        H. Sahbi, J-Y Audibert, J. Rabarisoa and R. Keriven
Object Matching and Recognition Using Context Dependent Similarity Kernels (oral paper + Best Paper Award from QMUL: Queen Mary University of London)
In the proceedings of the IEEE Workshop on Content Based Multimedia Indexing (CBMI), June 2008.

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[28]        H. Sahbi, P. Etyngier, J-Y Audibert and R. Keriven
Graph Laplacian for Interactive Image Retrieval (oral paper)
In the proceedings of the IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP), April 2008.

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[27]        H. Sahbi, J-Y Audibert, J. Rabarisoa and R. Keriven
Context-Dependent Kernel Design for Object Matching and Recognition (report)
Research Report N 2007D018, ENST Paris, ParisTech, December 2007.

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[26]        H. Sahbi, J-Y Audibert and R. Keriven
Graph-Cut Transducers for Relevance feedback in Content Based Image Retrieval (poster paper)
In the proceedings of the IEEE International Conference on Computer Vision (ICCV), October 2007.

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[25]        H. Sahbi, P. Etyngier, J-Y Audibert and R. Keriven
Graph Laplacian for Interactive Image Retrieval (report)
Certis research report N 07-32, Ecole Nationale des Ponts et Chaussees, France. April 2007.

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[24]        H. Sahbi, J-Y Audibert and R. Keriven
Graph Cut Transducers for Relevance Feedback in Content Based Image Retrieval (report)
Certis research report N 07-30, Ecole Nationale des Ponts et Chaussees, France. February, 2007.

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[23]        H. Sahbi
A Particular Gaussian Mixture Model for Clustering (long oral)
In the proceedings of the 4th International Symposium on Neural Networks, Nanjing, China 2007.

[22]        K.C. Sim, W. Byrne, M. Gales, H. Sahbi and P. Woodland
Consensus Network Decoding For Statistical Machine Translation System Combination (poster paper)
In the proceedings of the IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP), Hawai, USA, 2007.

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[21]        S. Thiemert, H. Sahbi and M. Steinebach
Using entropy for image and video authentication watermarks (oral paper)
In the proceedings of the Conference on Security, Steganography, and Watermarking of Multimedia Contents, SPIE, San Jose, CA, January, 2006.

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[20]        H. Sahbi
Affine Invariant Shape Description Using the Triangular Kernel and Its Application to Leaf Recognition (poster paper).
In the proceedings of the IEEE International Workshop On Content Based Multimedia Indexing (CBMI), Letvia, June, 2005.

[19]        H. Sahbi and N. Boujemaa
Validity of Fuzzy Clustering Using Entropy Regularization (oral paper)
In the proceedings of the IEEE International Conference on Fuzzy Systems, Reno,May, 2005.

[18]        L. Huajian, H. Sahbi, L.C. Ferri and M. Steinebach
Advanced Semantic Authentication of Face Images (oral paper)
In the proceedings of the 5th IEEE International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS), Montreux, April, 2005.

[17]        S. Thiemert, H. Sahbi and M. Steinebach
Applying Interest Operators in Semi-Fragile Video Watermarking (oral paper)
In the proceedings of the international Conference on Security, Steganography, and Watermarking of Multimedia Contents, SPIE, San Jose, CA, January, 2005.

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[24]        H. Sahbi
Affine Invariant Shape Description Using the Triangular Kernel (internal report)
INRIA-Research Report Number 5308, September, 2004.

[15]        H. Sahbi and N. Boujemaa
Fuzzy Clustering: Consistency of Entropy Regularization (invited oral)
In the proceedings of the International Conference on Computational Intelligence (Special Session on Fuzzy Clustering), Dortmund, September, 2004.

[14]        H. Sahbi and F. Fleuret
Kernel Methods and Scale Invariance Using the Triangular Kernel (internal report)
INRIA Research Report, RR-5143, March, 2004.

[13]        H. Liu, H. Sahbi, L.C. Ferri and M. Steinebach
Authentication Using Automatic Detected Regions of Interest (poster paper)
In the proceedings of the 5th IEEE International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS), Lisboa, April, 2004.

[12]        N. Boujemaa, F. Fleuret, V. Gouet and H. Sahbi
Visual Content Extraction for Automatic Semantic Annotation of Video News (oral paper)
In the proceedings of the SPIE Conference, San Jose, CA, January, 2004.

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[11]        F. Fleuret and H. Sahbi
Scale-Invariance of Support Vector Machines Based on the Triangular Kernel (oral paper)
In the proceedings of the third IEEE International Workshop on Statistical and Computational Theories of Vision (part of ICCV2003), , Nice, October, 2003.

[10]        H. Sahbi and F. Fleuret
Scale-Invariance of Support Vector Machines Based on the Triangular Kernel (internal report)
INRIA Research Report, N 4601, October, 2002.

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[9]        H. Sahbi, D. Geman and N. Boujemaa
Face Detection Using Coarse-to-Fine Support Vector Classifiers (poster paper)
In the proceedings of the IEEE International Conference on Image Processing (ICIP), Rochester, New York, September, 2002.

[8]        H. Sahbi and N. Boujemaa
Coarse-to-Fine Support Vector Classifiers for Face Detection (poster paper)
In the proceedings of the IEEE International Conference on Pattern Recognition (ICPR), Quebec City, August, 2002.

[7]        H. Sahbi and N. Boujemaa
Coarse-to-fine Face Detection Based on Skin Color Adaption (oral paper)
In the Springer Verlag Lecture Notes in Computer Science, the European Conference on Computer Vision (ECCV) , Workshop on Biometric Authentication, Copenhagen, June, 2002.

[6]        H. Sahbi and N. Boujemaa
Robust Face Recognition Using Dynamic Space Warping (oral paper)
In the Springer Verlag Lecture Notes in Computer Science, the European Conference on Computer Vision (ECCV) , Workshop on Biometric Authentication, Copenhagen, June, 2002.

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[5]        N. Boujemaa, J. Fauqueur, M. Ferecatu, V. Gouet, B. Lesaux and H. Sahbi
Interactive Specific and Generic Image Retrieval (oral paper)
NSF/ INRIA/ Berkeley/ IBM MMCBIR Workshop, INRIA - Rocquencourt,September, 2001.

[4]        H. Sahbi and N. Boujemaa
Robust Matching By Dynamic Space Warping For Accurate Face Recognition (poster paper)
In the proceedings of the IEEE International Conference on Image Processing (ICIP), Thessaloniki, September, 2001.

[3]        H. Sahbi and N. Boujemaa
Accurate Face Detection Based on Coarse Segmentation and Fine Skin Color Adaption (poster paper)
In the proceedings of the International Conference on Image and Signal Processing (ICISP), Agadir, May, 2001.

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[2]        H. Sahbi and N. Boujemaa
Coarse-to-fine Skin and Face Detection (poster paper)
In the proceedings of the 8th ACM International Multimedia Conference, Los Angeles, CA, October, 2000.

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[1]        Ait-Aoudia, H. Sahbi, I. Maames, M. Bouleknafed, A. Moussaoui
Solid Modeling (oral paper)
JECHM'98 (Journées d'Etudes sur la Communication Homme-Machine), Algiers, December, 1998.

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All rights reserved.