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» Using Difference Reduction for Generic Proof Search
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DATE
2009
IEEE
88views Hardware» more  DATE 2009»
13 years 11 months ago
A generic framework for scan capture power reduction in fixed-length symbol-based test compression environment
Growing test data volume and overtesting caused by excessive scan capture power are two of the major concerns for the industry when testing large integrated circuits. Various test...
Xiao Liu, Qiang Xu
CIVR
2006
Springer
139views Image Analysis» more  CIVR 2006»
13 years 11 months ago
NPIC: Hierarchical Synthetic Image Classification Using Image Search and Generic Features
We introduce NPIC, an image classification system that focuses on synthetic (e.g., non-photographic) images. We use class-specific keywords in an image search engine to create a no...
Fei Wang, Min-Yen Kan
TABLEAUX
1998
Springer
14 years 2 days ago
Deleting Redundancy in Proof Reconstruction
We present a framework for eliminating redundancies during the reconstruction of sequent proofs from matrix proofs. We show that search-free proof reconstruction requires knowledge...
Stephan Schmitt, Christoph Kreitz
FSTTCS
1991
Springer
13 years 11 months ago
Randomizing Reductions of Search Problems
This paper closes a gap in the foundations of the theory of average case complexity. First, we clarify the notion of a feasible solution for a search problem and prove its robustne...
Andreas Blass, Yuri Gurevich
ACIVS
2006
Springer
14 years 1 months ago
A Comparison of Nearest Neighbor Search Algorithms for Generic Object Recognition
The nearest neighbor (NN) classifier is well suited for generic object recognition. However, it requires storing the complete training data, and classification time is linear in ...
Ferid Bajramovic, Frank Mattern, Nicholas Butko, J...