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AAAI
2011
12 years 5 months ago
Size Adaptive Selection of Most Informative Features
In this paper, we propose a novel method to select the most informative subset of features, which has little redundancy and very strong discriminating power. Our proposed approach...
Si Liu, Hairong Liu, Longin Jan Latecki, Shuicheng...
JCB
2006
107views more  JCB 2006»
13 years 5 months ago
Protein Image Alignment via Piecewise Affine Transformations
Abstract We present a new approach for aligning families of 2D gels. Instead of choosing one of the gels as reference and performing pairwise alignment, we construct an ideal gel t...
Florian A. Potra, Xing Liu, Françoise Seill...
AAAI
2012
11 years 7 months ago
Learning the Kernel Matrix with Low-Rank Multiplicative Shaping
Selecting the optimal kernel is an important and difficult challenge in applying kernel methods to pattern recognition. To address this challenge, multiple kernel learning (MKL) ...
Tomer Levinboim, Fei Sha
CASES
2010
ACM
13 years 3 months ago
Instruction selection by graph transformation
Common generated instruction selections are based on tree pattern matching, but modern and custom architectures feature instructions, which cannot be covered by trees. To overcome...
Sebastian Buchwald, Andreas Zwinkau
HAPTICS
2002
IEEE
13 years 10 months ago
Optimal Design Method for Selective Nerve Stimulation and Its Application to Electrocutaneous Display
We have developed a tactile display that uses electric current from the skin surface as a stimulus. Our main objective was to independently stimulate a variety of mechanoreceptors...
Hiroyuki Kajimoto, Naoki Kawakami, Susumu Tachi