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» Principal Component Analysis Based on L1-Norm Maximization
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84
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SMI
2008
IEEE
116views Image Analysis» more  SMI 2008»
15 years 4 months ago
A novel method for alignment of 3D models
In this paper we present a new method for alignment of 3D models. This approach is based on symmetry properties, and uses the fact that the principal components analysis (PCA) hav...
Mohamed Chaouch, Anne Verroust-Blondet
IWPC
2010
IEEE
14 years 8 months ago
On the Equivalence of Information Retrieval Methods for Automated Traceability Link Recovery
Abstract—We present an empirical study to statistically analyze the equivalence of several traceability recovery methods based on Information Retrieval (IR) techniques. The analy...
Rocco Oliveto, Malcom Gethers, Denys Poshyvanyk, A...
IMC
2005
ACM
15 years 3 months ago
Network Anomography
Anomaly detection is a first and important step needed to respond to unexpected problems and to assure high performance and security in IP networks. We introduce a framework and ...
Yin Zhang, Zihui Ge, Albert G. Greenberg, Matthew ...
ENGL
2007
180views more  ENGL 2007»
14 years 9 months ago
Biological Data Mining for Genomic Clustering Using Unsupervised Neural Learning
— The paper aims at designing a scheme for automatic identification of a species from its genome sequence. A set of 64 three-tuple keywords is first generated using the four type...
Shreyas Sen, Seetharam Narasimhan, Amit Konar
84
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JMM2
2006
110views more  JMM2 2006»
14 years 9 months ago
Two-Stage PCA Extracts Spatiotemporal Features for Gait Recognition
We propose a technique for gait recognition from motion capture data based on two successive stages of principal component analysis (PCA) on kinematic data. The first stage of PCA ...
Sandhitsu R. Das, Robert C. Wilson, Maciej T. Laza...