Olivier Colot

According to our database1, Olivier Colot authored at least 44 papers between 1998 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
SPOCC: Scalable POssibilistic Classifier Combination - toward robust aggregation of classifiers.
Expert Syst. Appl., 2020

2019
Decentralized Learning with Budgeted Network Load Using Gaussian Copulas and Classifier Ensembles.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2018
Idempotent conjunctive and disjunctive combination of belief functions by distance minimization.
Int. J. Approx. Reason., 2018

2017
Automatic Extraction of Breast Region in Raw Mammograms Using a Combined Strategy.
Proceedings of the 13th International Conference on Signal-Image Technology & Internet-Based Systems, 2017

2016
Evidential Matrix Metrics as Distances Between Meta-Data Dependent Bodies of Evidence.
IEEE Trans. Cybern., 2016

Interpreting evidential distances by connecting them to partial orders: Application to belief function approximation.
Int. J. Approx. Reason., 2016

Membership function construction for interval-valued fuzzy sets with application to Gaussian noise reduction.
Fuzzy Sets Syst., 2016

Idempotent Conjunctive Combination of Belief Functions by Distance Minimization.
Proceedings of the Belief Functions: Theory and Applications, 2016

2014
Introducing spatial neighbourhood in Evidential C-Means for segmentation of multi-source images: Application to prostate multi-parametric MRI.
Inf. Fusion, 2014

New distances between bodies of evidence based on Dempsterian specialization matrices and their consistency with the conjunctive combination rule.
Int. J. Approx. Reason., 2014

Fast Computation of L p Norm-Based Specialization Distances between Bodies of Evidence.
Proceedings of the Belief Functions: Theory and Applications, 2014

α-Junctions of Categorical Mass Functions.
Proceedings of the Belief Functions: Theory and Applications, 2014

2013
A parts-based approach for automatic 3D shape categorization using belief functions.
ACM Trans. Intell. Syst. Technol., 2013

2012
Three-dimensional object retrieval based on vector quantization of invariant descriptors.
J. Electronic Imaging, 2012

Speckle noise reduction using an interval type-2 fuzzy sets filter.
Proceedings of the 6th IEEE International Conference on Intelligent Systems, 2012

A Belief Function Model for Pixel Data.
Proceedings of the Belief Functions: Theory and Applications, 2012

2011
A New 3D-Matching Method of Nonrigid and Partially Similar Models Using Curve Analysis.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

Singular sources mining using evidential conflict analysis.
Int. J. Approx. Reason., 2011

Non-rigid 3D shape classification using bag-of-feature techniques.
Proceedings of the 2011 IEEE International Conference on Multimedia and Expo, 2011

Deformable shape retrieval using bag-of-feature techniques.
Proceedings of the Three-Dimensional Imaging, 2011

2010
Fuzzy filter based on interval-valued fuzzy sets for image filtering.
Fuzzy Sets Syst., 2010

Local visual patch for 3d shape retrieval.
Proceedings of the ACM workshop on 3D object retrieval, 2010

3D-Shape Retrieval Using Curves and HMM.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009
Combining a deformable model and a probabilistic framework for an automatic 3D segmentation of prostate on MRI.
Int. J. Comput. Assist. Radiol. Surg., 2009

2008
Toward automatic zonal segmentation of prostate by combining a deformable model and a probabilistic framework.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

About the combination of belief functions on real numbers and the fusion based on maximal coherent sets.
Proceedings of the 11th International Conference on Information Fusion, 2008

2007
Color Image Segmentation Based on Type-2 Fuzzy Sets and Region Merging.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2007

2006
TBM for color image processing: a quantization algorithm.
Proceedings of the 9th International Conference on Information Fusion, 2006

2005
Data association in multi-target tracking using belief theory: handling target emergence and disappearance issue.
Proceedings of the Advanced Video and Signal Based Surveillance, 2005

Joint audio-video people tracking using belief theory.
Proceedings of the Advanced Video and Signal Based Surveillance, 2005

2004
Evidential segmentation scheme of multi-echo MR images for the detection of brain tumors using neighborhood information.
Inf. Fusion, 2004

A similarity-based adaptive neighborhood method for correlation-based stereo matching.
Proceedings of the 2004 International Conference on Image Processing, 2004

A SBAN Stereovision Algorithm - Using Hue as Pixel Similarity Criterion.
Proceedings of the International Conference on Computer Vision and Graphics, 2004

2003
Reply to the Comments of R. Haenni on the paper "Belief functions combination and conflict management.
Inf. Fusion, 2003

Introduction of spatial information within the context of evidence theory.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

3D Segmentation of MR Brain Images into White Matter, Gray Matter and Cerebro-Spinal Fluid by Means of Evidence Theory.
Proceedings of the Artificial Intelligence in Medicine, 2003

2002
Belief function combination and conflict management.
Inf. Fusion, 2002

Object-oriented query based on belief fusion: application to dermatological databases.
Proceedings of the Storage and Retrieval for Media Databases 2002, 2002

Segmentation of multi-modality MR images by means of evidence theory for 3D reconstruction of brain tumors.
Proceedings of the 2002 International Conference on Image Processing, 2002

2000
Knowledge modeling methods in the framework of evidence theory: an experimental comparison for melanoma detection.
Proceedings of the IEEE International Conference on Systems, 2000

From continuous to discrete variables for Bayesian network classifiers.
Proceedings of the IEEE International Conference on Systems, 2000

1999
Color Image Segmentation Using Dempster-Shafer's Theory.
Proceedings of the 1999 International Conference on Image Processing, 1999

Dempster-Shafer's Theory as an aid to Color Information Processing Application to Melanoma Detection in Dermatology.
Proceedings of the 1oth International Conference on Image Analysis and Processing (ICIAP 1999), 1999

1998
A Colour Image Processing Model for Melanoma Detection.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 1998


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