23 search results - page 4 / 5 » Solving Consensus and Semi-supervised Clustering Problems Us... |
KDD
2009
ACM
14 years 9 months ago
2009
ACM
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
JC
2007
13 years 8 months ago
2007
We study the complexity of approximating the smallest eigenvalue of −∆ + q with Dirichlet boundary conditions on the d-dimensional unit cube. Here ∆ is the Laplacian, and th...
ICAISC
2010
Springer
13 years 10 months ago
2010
Springer
Abstract. This paper proposes the Sequential Coordinate-Wise Algorithm (SCWA) to Discriminant Nonnegative Matrix Factorization (DNMF) for improving face recognition. DNMF incorpora...
SIGIR
2008
ACM
13 years 8 months ago
2008
ACM
In most IR clustering problems, we directly cluster the documents, working in the document space, using cosine similarity between documents as the similarity measure. In many real...
CVPR
2012
IEEE
11 years 11 months ago
2012
IEEE
Subspace clustering and feature extraction are two of the most commonly used unsupervised learning techniques in computer vision and pattern recognition. State-of-theart technique...