1427 search results - page 109 / 286 » Kernels for Semi-Structured Data |
ICML
2004
IEEE
14 years 11 months ago
2004
IEEE
Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...
BIBM
2008
IEEE
14 years 4 days ago
2008
IEEE
Recent studies in protein sequence analysis have leveraged the power of unlabeled data. For example, the profile and mismatch neighborhood kernels have shown significant improveme...
IPPS
2007
IEEE
14 years 4 months ago
2007
IEEE
The Cell processor offers substantial computational power which can be effectively utilized only if application design and implementation are tuned to the Cell architecture. In th...
COLT
2004
Springer
14 years 3 months ago
2004
Springer
Abstract. The Gram matrix plays a central role in many kernel methods. Knowledge about the distribution of eigenvalues of the Gram matrix is useful for developing appropriate model...
ECCV
2004
Springer
14 years 3 months ago
2004
Springer
The null space of the within-class scatter matrix is found to express most discriminative information for the small sample size problem (SSSP). The null space-based LDA takes full ...