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» On space constrained set selection problems
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108
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ICPR
2002
IEEE
16 years 1 months ago
Feature Selection for Pose Invariant Face Recognition
One of the major difficulties in face recognition systems is the in-depth pose variation problem. Most face recognition approaches assume that the pose of the face is known. In th...
Berk Gökberk, Ethem Alpaydin, Lale Akarun
ICASSP
2008
IEEE
15 years 7 months ago
Learning to satisfy
This paper investigates a class of learning problems called learning satisfiability (LSAT) problems, where the goal is to learn a set in the input (feature) space that satisfies...
Frederic Thouin, Mark Coates, Brian Eriksson, Robe...
99
Voted
EDBT
2009
ACM
127views Database» more  EDBT 2009»
15 years 7 months ago
Approximate substring selectivity estimation
We study the problem of estimating selectivity of approximate substring queries. Its importance in databases is ever increasing as more and more data are input by users and are in...
Hongrae Lee, Raymond T. Ng, Kyuseok Shim
ICCBR
2005
Springer
15 years 6 months ago
Learning to Win: Case-Based Plan Selection in a Real-Time Strategy Game
While several researchers have applied case-based reasoning techniques to games, only Ponsen and Spronck (2004) have addressed the challenging problem of learning to win real-time ...
David W. Aha, Matthew Molineaux, Marc J. V. Ponsen
100
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ICDM
2007
IEEE
116views Data Mining» more  ICDM 2007»
15 years 6 months ago
Cross-Mining Binary and Numerical Attributes
We consider the problem of relating itemsets mined on binary attributes of a data set to numerical attributes of the same data. An example is biogeographical data, where the numer...
Gemma C. Garriga, Hannes Heikinheimo, Jouni K. Sep...