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NECO
1998
151views more  NECO 1998»
13 years 7 months ago
Nonlinear Component Analysis as a Kernel Eigenvalue Problem
We describe a new method for performing a nonlinear form of Principal Component Analysis. By the use of integral operator kernel functions, we can e ciently compute principal comp...
Bernhard Schölkopf, Alex J. Smola, Klaus-Robe...
GECCO
2003
Springer
171views Optimization» more  GECCO 2003»
14 years 1 months ago
Genetic Algorithm Optimized Feature Transformation - A Comparison with Different Classifiers
When using a Genetic Algorithm (GA) to optimize the feature space of pattern classification problems, the performance improvement is not only determined by the data set used, but a...
Zhijian Huang, Min Pei, Erik D. Goodman, Yong Huan...
ICPR
2002
IEEE
14 years 9 months ago
Object Detection in Images: Run-Time Complexity and Parameter Selection of Support Vector Machines
In this paper we address two aspects related to the exploitation of Support Vector Machines (SVM) for classification in real application domains, such as the detection of objects ...
Nicola Ancona, Grazia Cicirelli, Ettore Stella, Ar...
COBUILD
1998
Springer
14 years 5 days ago
Roomware for Cooperative Buildings: Integrated Design of Architectural Spaces and Information Spaces
In this paper, we introduce the concepts of "cooperative buildings" and "roomware" and place them in the context of the integrated design of real, physical, res...
Norbert A. Streitz, Jörg Geißler, Torst...
ISDA
2008
IEEE
14 years 2 months ago
Performance Comparison of ADRS and PCA as a Preprocessor to ANN for Data Mining
In this paper we compared the performance of the Automatic Data Reduction System (ADRS) and principal component analysis (PCA) as a preprocessor to artificial neural networks (ANN...
Nicholas Navaroli, David Turner, Arturo I. Concepc...