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PAMI
2008
391views more  PAMI 2008»
14 years 10 months ago
Riemannian Manifold Learning
Recently, manifold learning has been widely exploited in pattern recognition, data analysis, and machine learning. This paper presents a novel framework, called Riemannian manifold...
Tong Lin, Hongbin Zha
93
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PAAPP
2006
141views more  PAAPP 2006»
14 years 10 months ago
Algorithmic optimizations of a conjugate gradient solver on shared memory architectures
OpenMP is an architecture-independent language for programming in the shared memory model. OpenMP is designed to be simple and in terms of programming abstractions. Unfortunately,...
Henrik Löf, Jarmo Rantakokko
PR
2006
77views more  PR 2006»
14 years 10 months ago
Preserving boundaries for image texture segmentation using grey level co-occurring probabilities
Texture analysis has been used extensively in the computer-assisted interpretation of digital imagery. A popular texture feature extraction approach is the grey level co-occurrenc...
Rishi Jobanputra, David A. Clausi
PR
2006
84views more  PR 2006»
14 years 10 months ago
Clustering techniques for protein surfaces
Though most approaches to protein comparison are based on their structure, several studies produced evidence of a strict correlation between the surface characteristics of protein...
Lorenzo Baldacci, Matteo Golfarelli, Alessandra Lu...
PRL
2006
94views more  PRL 2006»
14 years 10 months ago
Improving visual evoked potential feature classification for person recognition using PCA and normalization
In earlier papers, it was shown that recognizing persons using their brain patterns evoked during visual stimulus is possible. In this paper, several modifications are proposed to...
Ramaswamy Palaniappan, K. V. R. Ravi
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