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ICCAD
2001
IEEE
192views Hardware» more  ICCAD 2001»
14 years 4 months ago
BOOM - A Heuristic Boolean Minimizer
We present a two-level Boolean minimization tool (BOOM) based on a new implicant generation paradigm. In contrast to all previous minimization methods, where the implicants are ge...
Jan Hlavicka, Petr Fiser
ICML
2000
IEEE
14 years 8 months ago
Discovering Homogeneous Regions in Spatial Data through Competition
If all features causing heterogeneity were observed, a mixture of experts approach (Jacobs et al., 1991) is likely to be superior to using a single model. When unobserved or very n...
Slobodan Vucetic, Zoran Obradovic
BMCBI
2004
158views more  BMCBI 2004»
13 years 7 months ago
Incremental genetic K-means algorithm and its application in gene expression data analysis
Background: In recent years, clustering algorithms have been effectively applied in molecular biology for gene expression data analysis. With the help of clustering algorithms suc...
Yi Lu, Shiyong Lu, Farshad Fotouhi, Youping Deng, ...
CGO
2007
IEEE
14 years 1 months ago
Evaluating Heuristic Optimization Phase Order Search Algorithms
Program-specific or function-specific optimization phase sequences are universally accepted to achieve better overall performance than any fixed optimization phase ordering. A ...
Prasad Kulkarni, David B. Whalley, Gary S. Tyson
SMI
2007
IEEE
208views Image Analysis» more  SMI 2007»
14 years 1 months ago
A Partition-of-Unity Based Algorithm for Implicit Surface Reconstruction Using Belief Propagation
In this paper, we propose a new algorithm for the fundamental problem of reconstructing surfaces from a large set of unorganized 3D data points. The local shapes of the surface ar...
Yi-Ling Chen, Shang-Hong Lai