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» Prime Implicant Computation Using Satisfiability Algorithms
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KDD
2006
ACM
170views Data Mining» more  KDD 2006»
15 years 10 months ago
Computer aided detection via asymmetric cascade of sparse hyperplane classifiers
This paper describes a novel classification method for computer aided detection (CAD) that identifies structures of interest from medical images. CAD problems are challenging larg...
Jinbo Bi, Senthil Periaswamy, Kazunori Okada, Tosh...
ISCI
2006
58views more  ISCI 2006»
14 years 9 months ago
Streaming data reduction using low-memory factored representations
Many special purpose algorithms exist for extracting information from streaming data. Constraints are imposed on the total memory and on the average processing time per data item....
David Littau, Daniel Boley
VIP
2003
14 years 11 months ago
Optimal Selection of Image Segmentation Algorithms Based on Performance Prediction
Using different algorithms to segment different images is a quite straightforward strategy for automated image segmentation. But the difficulty of the optimal algorithm selection ...
Yong Xia, David Dagan Feng, Rongchun Zhao
DAC
2004
ACM
15 years 10 months ago
Refining the SAT decision ordering for bounded model checking
Bounded Model Checking (BMC) relies on solving a sequence of highly correlated Boolean satisfiability (SAT) problems, each of which corresponds to the existence of counter-example...
Chao Wang, HoonSang Jin, Gary D. Hachtel, Fabio So...
SPAA
2010
ACM
15 years 2 months ago
Towards optimizing energy costs of algorithms for shared memory architectures
Energy consumption by computer systems has emerged as an important concern. However, the energy consumed in executing an algorithm cannot be inferred from its performance alone: i...
Vijay Anand Korthikanti, Gul Agha