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» Minimization of an M-convex Function
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ICIP
2009
IEEE
14 years 10 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»
14 years 3 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
14 years 1 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
12 years 9 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»
14 years 9 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