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Selected Talks |
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Scene Understanding and Action Recognition in Video [*]
Context Based Support Vector Machines for Interconnected Image Annotation [*]
Context Dependent Image Search [*]
Context Dependent Image Matching and Recognition [*]
Graphs, Kernels and Applications to Image Ranking [*]
Context Dependent Kernels for Scene Interpretation. [*]
Context Dependent Image Matching and Recognition. [*]
Introduction to Generalization Bounds. [*]
Introduction to Statistical Learning. [*]
Context Dependent Kernels. [*]
Context Dependent Kernels. [*]
Kernel Design for Object Recognition. [*]
A particular Gaussian Mixture Model for Clustering. [*]
Kernel Methods for Shape Recognition. [*]
Statistical learning and image
retrieval: advances, trends and applications. [*]
Kernel PCA for Invariant and Robust
Shape Descriptor [*]
Kernel PCA for Similarity Invariant
Shape Recognition [*]
Introduction to Statistical Learning and
Applications in Pattern Recognition [*]
Validity of Fuzzy Clustering using Entropy Regularization [*]
A New "Kernel Method" approach for clustering [*]
Fuzzy Clustering: Consistency of Entropy Regularization [*]
Fuzzy Clustering Consistency of Entropy Regularization. [*]
Efficient computation, Invariance and applications in pattern recognition. [*]
Efficient Computation and Invariance for Training Problems in Pattern Recognition
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Visual Content Extraction for Automatic Semantic Annotation of Video News [*]
Statistical Learning in Pattern Recognition
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Introduction to Statistical Learning and Generalization Bounds
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Face Recognition: State of the Art
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Scale-Invariance of Support Vector Machines Based on the Triangular Kernel
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Coarse-to-Fine Support Vector Classifiers for Face Detection
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Fast Face Detection using SVM Classifiers,
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Coarse-to-Fine Support Vector Classifiers for Face Detection
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Machines à Vecteurs de Support : Applications en Indexation
[*]
Une Approche Coarse-to-fine pour la Detection des Visages
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2017, University Pierre and Marie Curie,
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