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CORR
2010
Springer
155views Education» more  CORR 2010»
15 years 4 months ago
Repairing People Trajectories Based on Point Clustering
This paper presents a method for improving any object tracking algorithm based on machine learning. During the training phase, important trajectory features are extracted which are...
Duc Phu Chau, François Brémond, Etie...
TASLP
2008
120views more  TASLP 2008»
15 years 4 months ago
Rapid Speaker Adaptation Using Clustered Maximum-Likelihood Linear Basis With Sparse Training Data
Abstract-- Speaker space based adaptation methods for automatic speech recognition have been shown to provide significant performance improvements for tasks where only a few second...
Yun Tang, Richard Rose
RSA
2011
124views more  RSA 2011»
14 years 11 months ago
Sparse random graphs with clustering
In 2007 we introduced a general model of sparse random graphs with independence between the edges. The aim of this paper is to present an extension of this model in which the edge...
Béla Bollobás, Svante Janson, Oliver...
CVPR
2007
IEEE
16 years 6 months ago
Learning Visual Similarity Measures for Comparing Never Seen Objects
In this paper we propose and evaluate an algorithm that learns a similarity measure for comparing never seen objects. The measure is learned from pairs of training images labeled ...
Eric Nowak, Frédéric Jurie
FUZZIEEE
2007
IEEE
15 years 10 months ago
Visualizing Consensus in Group Decision Making Situations
Abstract— In the resolution of group decision making problems the consensus process, that is, the process where experts discuss about the alternatives to narrow their differences...
Sergio Alonso, Enrique Herrera-Viedma, Francisco J...