298 search results - page 31 / 60 » Subspace Clustering of High Dimensional Data |
125
Voted
AMDO
2006
Springer
15 years 4 months ago
2006
Springer
Abstract. We propose motion manifold learning and motion primitive segmentation framework for human motion synthesis from motion-captured data. High dimensional motion capture date...
104
Voted
DAWAK
2007
Springer
15 years 6 months ago
2007
Springer
Representative-based clustering algorithms are quite popular due to their relative high speed and because of their sound theoretical foundation. On the other hand, the clusters the...
180
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ICML
2004
IEEE
16 years 1 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...
114
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KDD
2005
ACM
15 years 6 months ago
2005
ACM
The increasing complexity of today’s systems makes fast and accurate failure detection essential for their use in mission-critical applications. Various monitoring methods provi...
102
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CORR
2006
Springer
15 years 15 days ago
2006
Springer
While there is a very long tradition of approximating a data array by projecting row or column vectors into a lower dimensional subspace the direct approximation of a data matrix ...