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IM
2006
15 years 7 months ago
Estimating Entropy and Entropy Norm on Data Streams
We consider the problem of computing information theoretic functions such as entropy on a data stream, using sublinear space. Our first result deals with a measure we call the &quo...
Amit Chakrabarti, Khanh Do Ba, S. Muthukrishnan
215
Voted
JCP
2008
167views more  JCP 2008»
15 years 7 months ago
Accelerated Kernel CCA plus SVDD: A Three-stage Process for Improving Face Recognition
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
Ming Li, Yuanhong Hao
INFSOF
2006
73views more  INFSOF 2006»
15 years 7 months ago
Theory and algorithms for slicing unstructured programs
Program slicing identifies parts of a program that potentially affect a chosen computation. It has many applications in software engineering, including maintenance, evolution and ...
Mark Harman, Arun Lakhotia, David Binkley
172
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CPHYSICS
2007
86views more  CPHYSICS 2007»
15 years 7 months ago
Are polymer melts "ideal"
It is commonly accepted that in concentrated solutions or melts high-molecular weight polymers display randomwalk conformational properties without long-range correlations between...
Joachim Paul Jakob Wittmer, Philippe Beckrich, F. ...
219
Voted
JAIR
2006
160views more  JAIR 2006»
15 years 7 months ago
Anytime Point-Based Approximations for Large POMDPs
The Partially Observable Markov Decision Process has long been recognized as a rich framework for real-world planning and control problems, especially in robotics. However exact s...
Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun
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