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» Minimization of an M-convex Function
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ICIP
2009
IEEE
16 years 6 months ago
Optimum Kernel Function Design From Scale Space Features For Object Detection
Scale-space representation of an image is a significant way to generate features for classification. However, for a specific classification task, the entire scale-space may not be...
GLVLSI
2007
IEEE
189views VLSI» more  GLVLSI 2007»
15 years 12 months ago
Hardware-accelerated path-delay fault grading of functional test programs for processor-based systems
The path-delay fault simulation of functional tests on complex circuits such as current processor-based systems is a daunting task. The amount of computing power and memory needed...
Paolo Bernardi, Michelangelo Grosso, Matteo Sonza ...
VRST
2000
ACM
15 years 10 months ago
Animated deformations with radial basis functions
We present a novel approach to creating deformations of polygonal models using Radial Basis Functions (RBFs) to produce localized real-time deformations. Radial Basis Functions as...
Jun-yong Noh, Douglas Fidaleo, Ulrich Neumann
EMMCVPR
2011
Springer
14 years 5 months ago
Discrete Optimization of the Multiphase Piecewise Constant Mumford-Shah Functional
Abstract. The Mumford-Shah model has been one of the most powerful models in image segmentation and denoising. The optimization of the multiphase Mumford-Shah energy functional has...
Noha Youssry El-Zehiry, Leo Grady
SIGMOD
2007
ACM
181views Database» more  SIGMOD 2007»
16 years 5 months ago
Progressive and selective merge: computing top-k with ad-hoc ranking functions
The family of threshold algorithm (i.e., TA) has been widely studied for efficiently computing top-k queries. TA uses a sort-merge framework that assumes data lists are pre-sorted...
Dong Xin, Jiawei Han, Kevin Chen-Chuan Chang