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» A Model-Driven Transformation Method
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121
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ICCAD
1995
IEEE
88views Hardware» more  ICCAD 1995»
15 years 7 months ago
LOT: logic optimization with testability-new transformations using recursive learning
: A new approach to optimize multi-level logic circuits is introduced. Given a multi-level circuit, the synthesis method optimizes its area, simultaneously enhancing its random pat...
Mitrajit Chatterjee, Dhiraj K. Pradhan, Wolfgang K...
150
Voted
DGCI
2008
Springer
15 years 5 months ago
Statistical Template Matching under Geometric Transformations
Abstract. We present a novel template matching framework for detecting geometrically transformed objects. A template is a simplified representation of the object of interest by a s...
Alexander Sibiryakov
130
Voted
TCAD
1998
82views more  TCAD 1998»
15 years 3 months ago
LOT: Logic Optimization with Testability. New transformations for logic synthesis
—A new approach to optimize multilevel logic circuits is introduced. Given a multilevel circuit, the synthesis method optimizes its area while simultaneously enhancing its random...
Mitrajit Chatterjee, Dhiraj K. Pradhan, Wolfgang K...
113
Voted
PAMI
2008
152views more  PAMI 2008»
15 years 3 months ago
Class-Based Feature Matching Across Unrestricted Transformations
We develop a novel method for class-based feature matching across large changes in viewing conditions. The method (called MBE) is based on the property that when objects share a si...
Evgeniy Bart, Shimon Ullman
177
Voted
CVPR
2012
IEEE
13 years 6 months ago
Robust visual domain adaptation with low-rank reconstruction
Visual domain adaptation addresses the problem of adapting the sample distribution of the source domain to the target domain, where the recognition task is intended but the data d...
I-Hong Jhuo, Dong Liu, D. T. Lee, Shih-Fu Chang