439 search results - page 45 / 88 » Alignment using Spectral Clusters |
97
Voted
UAI
2003
15 years 2 months ago
2003
In this paper we present a family of models and learning algorithms that can simultaneously align and cluster sets of multidimensional curves measured on a discrete time grid. Our...
124
Voted
ACL
2006
15 years 2 months ago
2006
In this paper, we present a novel global reordering model that can be incorporated into standard phrase-based statistical machine translation. Unlike previous local reordering mod...
187
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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...
150
Voted
CVPR
2006
IEEE
16 years 3 months ago
2006
IEEE
We present a method to automatically learn object categories from unlabeled images. Each image is represented by an unordered set of local features, and all sets are embedded into...
112
Voted
BMCBI
2008
15 years 1 months ago
2008
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...