515 search results - page 99 / 103 » A Reduced Complexity Algorithm for Minimizing N-Detect Tests |
CVPR
2007
IEEE
14 years 1 months ago
2007
IEEE
Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...
ICCAD
1999
IEEE
13 years 11 months ago
1999
IEEE
In this paper we present new methods for fast justification and propagation in the implication graph (IG) which is the core data structure of our SAT based implication engine. As ...
SIGGRAPH
1998
ACM
13 years 11 months ago
1998
ACM
In this paper we introduce the Progressive Forest Split (PFS) representation, a new adaptive refinement scheme for storing and transmitting manifold triangular meshes in progress...
BMCBI
2010
13 years 6 months ago
2010
Background: Identifying candidate genes in genetic networks is important for understanding regulation and biological function. Large gene expression datasets contain relevant info...
KDD
2003
ACM
14 years 7 months ago
2003
ACM
Distance function computation is a key subtask in many data mining algorithms and applications. The most effective form of the distance function can only be expressed in the conte...