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132
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NN
2008
Springer
201views Neural Networks» more  NN 2008»
15 years 2 months ago
Learning representations for object classification using multi-stage optimal component analysis
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
Yiming Wu, Xiuwen Liu, Washington Mio
115
Voted
ISORC
2007
IEEE
15 years 8 months ago
Real-Time Dynamic Guarantee in Component-Based Middleware
This paper describes an extension to the componentbased programming model to support real-time dynamic guarantee for distributed applications. The extended model aims to include a...
Cássia Yuri Tatibana, Carlos Montez, R&ocir...
133
Voted
SLSFS
2005
Springer
15 years 8 months ago
Discrete Component Analysis
Abstract. This article presents a unified theory for analysis of components in discrete data, and compares the methods with techniques such as independent component analysis, non-...
Wray L. Buntine, Aleks Jakulin
IPPS
2002
IEEE
15 years 7 months ago
Concept-Based Component Libraries and Optimizing Compilers
This paper discusses concept lattices and some of their applications in component library development and compiler optimizations. Ongoing work on concept-based userextensible simp...
Sibylle Schupp, D. P. Gregor, B. Osman, David R. M...
CORR
2007
Springer
198views Education» more  CORR 2007»
15 years 2 months ago
Clustering and Feature Selection using Sparse Principal Component Analysis
In this paper, we study the application of sparse principal component analysis (PCA) to clustering and feature selection problems. Sparse PCA seeks sparse factors, or linear combi...
Ronny Luss, Alexandre d'Aspremont