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ICASSP
2008
IEEE
15 years 11 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...
ICGI
2004
Springer
15 years 10 months ago
Identifying Clusters from Positive Data
The present work studies clustering from an abstract point of view and investigates its properties in the framework of inductive inference. Any class S considered is given by a hyp...
John Case, Sanjay Jain, Eric Martin, Arun Sharma, ...
ECCV
2010
Springer
15 years 10 months ago
Fast Covariance Computation and Dimensionality Reduction for Sub-Window Features in Images
This paper presents algorithms for efficiently computing the covariance matrix for features that form sub-windows in a large multidimensional image. For example, several image proc...
ICDT
2010
ACM
147views Database» more  ICDT 2010»
15 years 8 months ago
Querying Parse Trees of Stochastic Context-Free Grammars
Stochastic context-free grammars (SCFGs) have long been recognized as useful for a large variety of tasks including natural language processing, morphological parsing, speech reco...
Sara Cohen, Benny Kimelfeld
CAD
2006
Springer
15 years 5 months ago
A unified subdivision approach for multi-dimensional non-manifold modeling
This paper presents a new unified subdivision scheme that is defined over a k-simplicial complex in n-D space with k 3. We first present a series of definitions to facilitate top...
Yu-Sung Chang, Hong Qin