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» A Recursive Hyperspheric Classification Algorithm
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CAINE
2008
15 years 2 days ago
A Recursive Hyperspheric Classification Algorithm
This paper presents a novel method for learning from a labeled dataset to accurately classify unknown data. The recursive algorithm, termed Recursive Hyperspheric Classification, ...
Salyer B. Reed, Carl G. Looney, Sergiu Dascalu
FLAIRS
2004
15 years 20 hour ago
Blind Data Classification Using Hyper-Dimensional Convex Polytopes
A blind classification algorithm is presented that uses hyperdimensional geometric algorithms to locate a hypothesis, in the form of a convex polytope or hyper-sphere. The convex ...
Brent T. McBride, Gilbert L. Peterson
ICIP
2008
IEEE
15 years 5 months ago
Correlation Embedding Analysis
—Beyond conventional linear and kernel-based feature extraction, we present a more generalized formulation for feature extraction in this paper. Two representative algorithms usi...
Yun Fu, Thomas S. Huang
PAMI
2008
153views more  PAMI 2008»
14 years 10 months ago
Correlation Metric for Generalized Feature Extraction
Beyond conventional linear and kernel-based feature extraction, we present a more generalized formulation for feature extraction in this paper. Two representative algorithms using ...
Yun Fu, Shuicheng Yan, Thomas S. Huang
INFORMATICALT
2000
82views more  INFORMATICALT 2000»
14 years 10 months ago
Recursive Algorithms of Time Series Observations Recognition
Abstract. The paper presents new method for sequential classification of the time series observations. Methods and algorithms of sequential recognition are obtained on the basis of...
Edward Shpilewski