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» On the Optimality of the Dimensionality Reduction Method
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ICB
2009
Springer
159views Biometrics» more  ICB 2009»
16 years 21 days ago
Multilinear Tensor-Based Non-parametric Dimension Reduction for Gait Recognition
The small sample size problem and the difficulty in determining the optimal reduced dimension limit the application of subspace learning methods in the gait recognition domain. To...
Changyou Chen, Junping Zhang, Rudolf Fleischer
ACTAC
1999
81views more  ACTAC 1999»
15 years 5 months ago
Test Suite Reduction in Conformance Testing
Conformance testing is based on a test suite. Standardization committees release standard test suites, which consist of hundreds of test cases. The main problem of conformance tes...
Tibor Csöndes, Sarolta Dibuz, Balázs K...
ISBI
2004
IEEE
16 years 6 months ago
Vascular Segmentation in Three-Dimensional Rotational Angiography Based on Maximum Intensity Projections
Three-dimensional rotational angiography (3D-RA) is a relatively new and promising technique for imaging blood vessels. In this paper, we propose a novel 3D-RA vascular segmentati...
Rui Gan, Albert C. S. Chung, Wilbur C. K. Wong, Si...
ACRI
2004
Springer
15 years 11 months ago
Evolving Transition Rules for Multi Dimensional Cellular Automata
Abstract. Genetic Algorithms have been used before to evolve transition rules for one dimensional Cellular Automata (CA) to solve e.g. the majority problem and investigate communic...
Ron Breukelaar, Thomas Bäck
PR
2010
170views more  PR 2010»
15 years 4 months ago
Sparsity preserving projections with applications to face recognition
: Dimensionality reduction methods (DRs) have commonly been used as a principled way to understand the high-dimensional data such as face images. In this paper, we propose a new un...
Lishan Qiao, Songcan Chen, Xiaoyang Tan