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» Approximation Methods for Supervised Learning
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POPL
2005
ACM
14 years 7 months ago
Synthesis of interface specifications for Java classes
While a typical software component has a clearly specified (static) interface in terms of the methods and the input/output types they support, information about the correct sequen...
P. Madhusudan, Pavol Cerný, Rajeev Alur, Wo...
ECCV
2008
Springer
14 years 9 months ago
Compressive Sensing for Background Subtraction
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
Volkan Cevher, Aswin C. Sankaranarayanan, Marco F....
IJCAI
1997
13 years 8 months ago
Combining Probabilistic Population Codes
We study the problemof statisticallycorrect inference in networks whose basic representations are population codes. Population codes are ubiquitous in the brain, and involve the s...
Richard S. Zemel, Peter Dayan
BLISS
2009
IEEE
13 years 8 months ago
Gait Recognition Using Shadow Analysis
The exploitation of biometrics information in human shadow silhouettes (shadow biometrics), derived from video imagery after processing by gait analysis methods opens new avenues ...
Yumi Iwashita, Adrian Stoica
JMLR
2008
168views more  JMLR 2008»
13 years 7 months ago
Max-margin Classification of Data with Absent Features
We consider the problem of learning classifiers in structured domains, where some objects have a subset of features that are inherently absent due to complex relationships between...
Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbe...