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IPMI
2003
Springer
14 years 9 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
ICML
1999
IEEE
14 years 9 months ago
Monte Carlo Hidden Markov Models: Learning Non-Parametric Models of Partially Observable Stochastic Processes
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...
Sebastian Thrun, John Langford, Dieter Fox
ICML
1997
IEEE
14 years 9 months ago
An adaptation of Relief for attribute estimation in regression
Heuristic measures for estimating the quality of attributes mostly assume the independence of attributes so in domains with strong dependencies between attributes their performanc...
Marko Robnik-Sikonja, Igor Kononenko
WWW
2007
ACM
14 years 9 months ago
Google news personalization: scalable online collaborative filtering
Several approaches to collaborative filtering have been studied but seldom have studies been reported for large (several million users and items) and dynamic (the underlying item ...
Abhinandan Das, Mayur Datar, Ashutosh Garg, ShyamS...
WWW
2004
ACM
14 years 9 months ago
Post-processing inkml for random-access navigation of voluminous handwritten ink documents
The goal of this research is the improvement of browsing voluminous InkML data in two areas: ease of rendering continuous inkflow for replay-browsing, and ease of random access na...
Khaireel A. Mohamed, Lioudmila Belenkaia, Thomas O...