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ICASSP
2008
IEEE
15 years 6 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...
BMCBI
2006
164views more  BMCBI 2006»
14 years 12 months ago
Evaluation of clustering algorithms for gene expression data
Background: Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped togethe...
Susmita Datta, Somnath Datta
EDBT
2012
ACM
247views Database» more  EDBT 2012»
13 years 2 months ago
Heuristics-based query optimisation for SPARQL
Query optimization in RDF Stores is a challenging problem as SPARQL queries typically contain many more joins than equivalent relational plans, and hence lead to a large join orde...
Petros Tsialiamanis, Lefteris Sidirourgos, Irini F...
CVPR
2009
IEEE
16 years 6 months ago
Multiphase Geometric Couplings for the Segmentation of Neural Processes
The ability to constrain the geometry of deformable models for image segmentation can be useful when information about the expected shape or positioning of the objects in a scene i...
Amelio Vázquez Reina, Eric Miller, Hanspete...
ECCV
2002
Springer
16 years 1 months ago
Face Recognition from Long-Term Observations
We address the problem of face recognition from a large set of images obtained over time - a task arising in many surveillance and authentication applications. A set or a sequence ...
Gregory Shakhnarovich, John W. Fisher III, Trevor ...