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Presentation
443views
1 years 2 months ago
Exponential families and simplification of mixture models
Presentation of the exponential families, of the mixtures of such distributions and how to learn it. We then present algorithms to simplify mixture model, using Kullback-Leibler di...
ICASSP
2011
IEEE
1 years 2 months ago
Non-flat clustering whith alpha-divergences
The scope of the well-known k-means algorithm has been broadly extended with some recent results: first, the k- means++ initialization method gives some approximation guarantees...
Olivier Schwander, Frank Nielsen

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TonyOuyangStudent, Msc
SJTU
TonyOuyang
I'm in my freshman year of post-graduate.

Publication
1045views
2 years 1 months ago
Reranking with Contextual dissimilarity measures from representational Bregman k-means
We present a novel reranking framework for Content Based Image Retrieval (CBIR) systems based on con-textual dissimilarity measures. Our work revisit and extend the method of Perro...
Olivier Schwander, Frank Nielsen

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199profile views
gg88Student
Amity University
gg88
ICIP
2009
IEEE
2 years 4 months ago
 Multi-modal Image Registration using Fuzzy Kernel Regression
This paper presents a study aimed to the realization of a novel multiresolution registration framework. The transformation function is computed iteratively as a composition of lo...
R. Gallea, E. Ardizzone, R. Pirrone, O. Gambino

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JianChengStudent, PhD
Institute of Automation Chinese Academy of Sciences and INRIA Sophia Antipolis
JianCheng
I am a Ph.D. student in Medical Image Analysis under a joint Ph.D. program between China and France. I work with Prof. Tianzi Jiang in RCCM, LIAMA, CASIA, and Prof. Rachid Derich...
CVPR
2009
IEEE
3 years 19 days ago
Intrinsic Mean Shift for Clustering on Stiefel and Grassmann Manifolds
The mean shift algorithm, which is a nonparametric density estimator for detecting the modes of a distribution on a Euclidean space, was recently extended to operate on analytic ...
Hasan Ertan Çetingül, René Vida...
CVPR
2009
IEEE
3 years 19 days ago
Constrained Clustering via Spectral Regularization
We propose a novel framework for constrained spectral clustering with pairwise constraints which specify whether two objects belong to the same cluster or not. Unlike previous m...
Zhenguo Li (The Chinese University of Hong Kong), ...
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