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CVPR
2010
IEEE
14 years 10 months ago
P-N learning: Bootstrapping binary classifiers by structural constraints
This paper shows that the performance of a binary classifier can be significantly improved by the processing of structured unlabeled data, i.e. data are structured if knowing the ...
Zdenek Kalal, Jiri Matas, Krystian Mikolajczyk
MICCAI
2010
Springer
14 years 10 months ago
Segmentation Subject to Stitching Constraints: Finding Many Small Structures in a Large Image
International Conference on Medical Image Computing and Computer Assisted Intervention, Beijing, China, 20-24 September 2010 Extracting numerous cells in a large microscopic image...
Elena Bernardis, Stella X. Yu
CDB
2004
Springer
158views Database» more  CDB 2004»
15 years 3 months ago
Constraint Databases, Data Structures and Efficient Query Evaluation
Abstract. Constraint databases that can be described by boolean combinations of polynomial inequalities over the reals have received ample research attention. In particular, the ex...
Joos Heintz, Bart Kuijpers
JCSS
2008
107views more  JCSS 2008»
14 years 11 months ago
A unified theory of structural tractability for constraint satisfaction problems
In this paper we derive a generic form of structural decomposition for the constraint satisfaction problem, which we call a guarded decomposition. We show that many existing decom...
David A. Cohen, Peter Jeavons, Marc Gyssens
AMAI
1999
Springer
14 years 11 months ago
STCSP - Structured Temporal Constraint satisfaction Problems
Temporal Constraint Satisfaction Problems (TCSP) is a well known approach for representing and processing temporal knowledge. Important properties of the knowledge can be inferred...
Mira Balaban, Tzachi Rosen