Timothé Collet Email & Phone Number

Région De Paris, France

Machine LearningSubject: Optimism in the Face of Uncertainty in the Active Learning problem for Classification. - Active Learning is the problem of selecting the best instances to be labeled in a supervised learning framework in order to increase the learning speed with repsect to the number of labeled instances. - Optimism in the Face of Uncertainty is a popular method for the finite budget optimization problem. - By making the parallel between those two problems I… Show more Machine LearningSubject: Optimism in the Face of Uncertainty in the Active Learning problem for Classification. - Active Learning is the problem of selecting the best instances to be labeled in a supervised learning framework in order to increase the learning speed with repsect to the number of labeled instances. - Optimism in the Face of Uncertainty is a popular method for the finite budget optimization problem. - By making the parallel between those two problems I introduced a new solution for the Active Learning problem based on Optimism in the Face of Uncertainty- I adapted this solution in the context of classification and derived several algorithms for different classifiers such as Naïve Bayes, Incremental Decision Trees, Random Forests, Tile Coding and Gaussian Processes.- Programmed in Matlab and C/C++ Show less

Extraction of texture of a 3D face from a large set of 2D views with different positions.- Keywords: Computer Vision, Facial Recognition, 3D geometry, Image alignment, Merging, Combinatorial optimization, OpenGL- Programmed in Matlab and C/C++

Tracking of feature points with shape a priori, aiming to reduce the manual annotation for expression and person identification.- Computer Vision, Facial Recognition, Tracking, Feature descriptors (block-matching, SIFT, SURF, Gabor wavelets, LBP), Gradient methods, Shape space projection, PCA- Programmed in Matlab

Incorporation of spatial constaints in clustering of pixels in hyperspectral images for tumor progression identification.- Keywords: Computer Vision, Clustering (K-means, Fuzzy-C-means), Markov Random Fields- Programmed in Matlab

Doctor Of Philosophy (Phd), Computer Science, Machine Learning

- Effectuée à CentraleSupélec (http://www.centralesupelec.fr/wordpress/) - Université de Lorraine (http://www.univ-lorraine.fr/).

Diplôme D'Ingénieur, Systèmes Informatiques Et Robotiques