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JMLR
2008
168views more  JMLR 2008»
13 years 5 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...
CVPR
1996
IEEE
13 years 9 months ago
Extracting Salient Curves from Images: An Analysis of the Saliency Network
The Saliency Network proposed by Shashua and Ullman (1988) is a well-known approach to the problem of extracting salient curves from images while performing gap completion. This pa...
T. D. Alter, Ronen Basri
JMLR
2006
108views more  JMLR 2006»
13 years 5 months ago
The Interplay of Optimization and Machine Learning Research
The fields of machine learning and mathematical programming are increasingly intertwined. Optimization problems lie at the heart of most machine learning approaches. The Special T...
Kristin P. Bennett, Emilio Parrado-Hernánde...
NIPS
2007
13 years 7 months ago
An Analysis of Convex Relaxations for MAP Estimation
The problem of obtaining the maximum a posteriori estimate of a general discrete random field (i.e. a random field defined using a finite and discrete set of labels) is known ...
Pawan Mudigonda, Vladimir Kolmogorov, Philip H. S....
STACS
1992
Springer
13 years 9 months ago
Speeding Up Two String-Matching Algorithms
We show how to speed up two string-matching algorithms: the Boyer-Moore algorithm (BM algorithm), and its version called here the reverse factor algorithm (RF algorithm). The RF al...
Maxime Crochemore, Thierry Lecroq, Artur Czumaj, L...