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SIGIR
2002
ACM
13 years 8 months ago
Unsupervised document classification using sequential information maximization
We present a novel sequential clustering algorithm which is motivated by the Information Bottleneck (IB) method. In contrast to the agglomerative IB algorithm, the new sequential ...
Noam Slonim, Nir Friedman, Naftali Tishby
IBPRIA
2009
Springer
14 years 1 months ago
Match Selection in Batch Mosaicing Using Mutual Information
Abstract. Large area photo-mosaics are widely used in many different applications such as optical mapping, panorama creation and autonomous vehicle navigation. When the trajectory...
Armagan Elibol, Nuno Gracias, Rafael García
SLSFS
2005
Springer
14 years 2 months ago
Auxiliary Variational Information Maximization for Dimensionality Reduction
Abstract. Mutual Information (MI) is a long studied measure of information content, and many attempts to apply it to feature extraction and stochastic coding have been made. Howeve...
Felix V. Agakov, David Barber
MCS
2004
Springer
14 years 2 months ago
A Probabilistic Model Using Information Theoretic Measures for Cluster Ensembles
Abstract. This paper presents a probabilistic model for combining cluster ensembles utilizing information theoretic measures. Starting from a co-association matrix which summarizes...
Hanan Ayad, Otman A. Basir, Mohamed Kamel
VLBV
2005
Springer
14 years 2 months ago
Extrapolating Side Information for Low-Delay Pixel-Domain Distributed Video Coding
Distributed Video Coding (DVC) is a new video coding approach based on the Wyner-Ziv theorem. Unlike most of the existing video codecs, each frame is encoded separately (either as...
Luís Natário, Catarina Brites, Jo&at...