502 search results - page 55 / 101 » Sparse Subspace Clustering |
205
Voted
ICML
2004
IEEE
16 years 4 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...
IPM
2006
15 years 3 months ago
2006
We consider a challenging clustering task: the clustering of muti-word terms without document co-occurrence information in order to form coherent groups of topics. For this task, ...
134
Voted
CLEF
2010
Springer
15 years 4 months ago
2010
Springer
This paper describes the participation of DAEDALUS team at the WebPS-3 Task 1, regarding Web People Search. The focus of our research is to evaluate and compare the computational r...
137
Voted
ACL
2001
15 years 4 months ago
2001
In this paper, a new language model, the Multi-Class Composite N-gram, is proposed to avoid a data sparseness problem for spoken language in that it is difficult to collect traini...
137
Voted
ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
In supervised kernel methods, it has been observed that the performance of the SVM classifier is poor in cases where the diagonal entries of the Gram matrix are large relative to ...