847 search results - page 76 / 170 » HITS is Principal Components Analysis |
115
Voted
ICPR
2008
IEEE
16 years 1 months ago
2008
IEEE
Speaker independent feature extraction is a critical problem in speech recognition. Oriented principal component analysis (OPCA) is a potential solution that can find a subspace r...
119
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DAC
2004
ACM
16 years 1 months ago
2004
ACM
Current technology trends have led to the growing impact of both inter-die and intra-die process variations on circuit performance. While it is imperative to model parameter varia...
96
Voted
ICML
2005
IEEE
16 years 1 months ago
2005
IEEE
Recently, several manifold learning algorithms have been proposed, such as ISOMAP (Tenenbaum et al., 2000), Locally Linear Embedding (Roweis & Saul, 2000), Laplacian Eigenmap ...
ICPPW
2002
IEEE
15 years 5 months ago
2002
IEEE
This paper presents a methodology for aiding a scientific programmer to evaluate the performance of parallel programs on advanced architectures. It applies well-defined design o...
119
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EPEW
2008
Springer
15 years 2 months ago
2008
Springer
Abstract. We present an application of partial evaluation to performance models expressed in the PEPA stochastic process algebra [1]. We partially evaluate the state-space of a PEP...