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» Alignment by Maximization of Mutual Information
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ICCV
2003
IEEE
15 years 11 months ago
Cumulative Residual Entropy, A New Measure of Information & its Application to Image Alignment
In this paper we use the cumulative distribution of a random variable to define the information content in it and use it to develop a novel measure of information that parallels S...
Fei Wang, Baba C. Vemuri, Murali Rao, Yunmei Chen
IPMI
2003
Springer
15 years 10 months ago
A New & Robust Information Theoretic Measure and Its Application to Image Alignment
In this paper we develop a novel measure of information in a random variable based on its cumulative distribution that we dub cumulative residual entropy (CRE). This measure parall...
Fei Wang, Baba C. Vemuri, Murali Rao, Yunmei Chen
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ICC
2008
IEEE
146views Communications» more  ICC 2008»
15 years 4 months ago
Optimal Precoding for Digital Subscriber Lines
—We determine the linear precoding policy that maximizes the mutual information for general multiple-input multiple-output (MIMO) Gaussian channels with arbitrary input distribut...
Fernando Pérez-Cruz, Miguel R. D. Rodrigues...
IDA
2007
Springer
15 years 3 months ago
Learning to Align: A Statistical Approach
We present a new machine learning approach to the inverse parametric sequence alignment problem: given as training examples a set of correct pairwise global alignments, find the p...
Elisa Ricci, Tijl De Bie, Nello Cristianini
ECCV
2010
Springer
15 years 2 months ago
Detecting People Using Mutually Consistent Poselet Activations
Bourdev and Malik (ICCV 09) introduced a new notion of parts, poselets, constructed to be tightly clustered both in the configuration space of keypoints, as well as in the appeara...