411 search results - page 12 / 83 » Rank Estimation in Missing Data Matrix Problems |
CDC
2009
IEEE
13 years 5 months ago
2009
IEEE
Abstract-- The problem of finding the eigenvector corresponding to the largest eigenvalue of a stochastic matrix has numerous applications in ranking search results, multi-agent co...
3DPH
2009
13 years 9 months ago
2009
Abstract. A common problem in optical motion capture of human-body movement is the so-called missing marker problem. The occlusion of markers can lead to significant problems in tr...
SDM
2010
SIAM
13 years 9 months ago
2010
SIAM
In recent years, matrix approximation for missing value prediction has emerged as an important problem in a variety of domains such as recommendation systems, e-commerce and onlin...
SIGKDD
2010
13 years 2 months ago
2010
In recent years, compressive sensing attracts intensive attentions in the field of statistics, automatic control, data mining and machine learning. It assumes the sparsity of the ...
PLDI
1995
ACM
13 years 11 months ago
1995
ACM
When dense matrix computations are too large to fit in cache, previous research proposes tiling to reduce or eliminate capacity misses. This paper presents a new algorithm for ch...