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» Class Separability in Spaces Reduced By Feature Selection
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PR
2010
186views more  PR 2010»
13 years 7 months ago
Feature extraction by learning Lorentzian metric tensor and its extensions
We develop a supervised dimensionality reduction method, called Lorentzian Discriminant Projection (LDP), for feature extraction and classification. Our method represents the str...
Risheng Liu, Zhouchen Lin, Zhixun Su, Kewei Tang
CORR
2007
Springer
138views Education» more  CORR 2007»
13 years 8 months ago
Algebraic Distributed Space-Time Codes with Low ML Decoding Complexity
— ”Extended Clifford algebras” are introduced as a means to obtain low ML decoding complexity space-time block codes. Using left regular matrix representations of two speci...
G. Susinder Rajan, B. Sundar Rajan
EC
2000
171views ECommerce» more  EC 2000»
13 years 8 months ago
Building Blocks, Cohort Genetic Algorithms, and Hyperplane-Defined Functions
Building blocks are a ubiquitous feature at all levels of human understanding, from perception through science and innovation. Genetic algorithms are designed to exploit this prev...
John H. Holland
ISBI
2009
IEEE
14 years 3 months ago
Design and Study of Flux-Based Features for 3D Vascular Tracking
In this paper, we present and study two local features for the tracking of vascular structures on 3D angiograms. The first one, Flux, measures the inward gradient flux through c...
David Lesage, Elsa D. Angelini, Isabelle Bloch, Ga...
CSB
2004
IEEE
149views Bioinformatics» more  CSB 2004»
14 years 15 days ago
Weighting Features to Recognize 3D Patterns of Electron Density in X-Ray Protein Crystallography
Feature selection and weighting are central problems in pattern recognition and instance-based learning. In this work, we discuss the challenges of constructing and weighting feat...
Kreshna Gopal, Tod D. Romo, James C. Sacchettini, ...