7536 search results - page 45 / 1508 » Localized Components Analysis |
164
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CONCUR
1999
Springer
15 years 8 months ago
1999
Springer
Abstract. The paper presents a partial order reduction method applicable to networks of timed automata. The advantage of the method is that it reduces both the number of explored c...
148
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ICPR
2006
IEEE
16 years 5 months ago
2006
IEEE
1 A kernel determines the inductive bias of a learning algorithm on a specific data set, and it is beneficial to design specific kernel for a given data set. In this work, we propo...
156
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MIAR
2006
IEEE
15 years 10 months ago
2006
IEEE
Abstract. A main focus of statistical shape analysis is the description of variability of a population of geometric objects. In this paper, we present work in progress towards mode...
120
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NIPS
2003
15 years 5 months ago
2003
Principal components analysis (PCA) is one of the most widely used techniques in machine learning and data mining. Minor components analysis (MCA) is less well known, but can also...
121
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ICANN
1997
Springer
15 years 8 months ago
1997
Springer
A new method for performing a nonlinear form of Principal Component Analysis is proposed. By the use of integral operator kernel functions, one can e ciently compute principal comp...