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PAMI
2006
206views more  PAMI 2006»
15 years 7 months ago
MILES: Multiple-Instance Learning via Embedded Instance Selection
Multiple-instance problems arise from the situations where training class labels are attached to sets of samples (named bags), instead of individual samples within each bag (called...
Yixin Chen, Jinbo Bi, James Ze Wang
SIAMIS
2008
279views more  SIAMIS 2008»
15 years 7 months ago
A New Alternating Minimization Algorithm for Total Variation Image Reconstruction
We propose, analyze and test an alternating minimization algorithm for recovering images from blurry and noisy observations with total variation (TV) regularization. This algorith...
Yilun Wang, Junfeng Yang, Wotao Yin, Yin Zhang
SIAMSC
2008
191views more  SIAMSC 2008»
15 years 7 months ago
ORBIT: Optimization by Radial Basis Function Interpolation in Trust-Regions
Abstract. We present a new derivative-free algorithm, ORBIT, for unconstrained local optimization of computationally expensive functions. A trust-region framework using interpolati...
Stefan M. Wild, Rommel G. Regis, Christine A. Shoe...
SAC
2006
ACM
15 years 7 months ago
A new method of generating synchronizable test sequences that detect output-shifting faults based on multiple UIO sequences
The objective of testing is to determine the conformance between a system and its specification. When testing distributed systems, the existence of multiple testers brings out the...
Kai Chen, Fan Jiang, Chuan-dong Huang
IJCV
2007
144views more  IJCV 2007»
15 years 7 months ago
Generalized Gradients: Priors on Minimization Flows
This paper tackles an important aspect of the variational problem underlying active contours: optimization by gradient flows. Classically, the definition of a gradient depends d...
Guillaume Charpiat, Pierre Maurel, Jean-Philippe P...
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