Sciweavers

358 search results - page 23 / 72
» Rank Matrix Factorisation
Sort
View
PSIVT
2009
Springer
130views Multimedia» more  PSIVT 2009»
15 years 5 months ago
Compact Fundamental Matrix Computation
Abstract. A very compact algorithm is presented for fundamental matrix computation from point correspondences over two images. The computation is based on the strict maximum likeli...
Kenichi Kanatani, Yasuyuki Sugaya
CVPR
2009
IEEE
15 years 2 months ago
Nonnegative Matrix Factorization with Earth Mover's Distance metric
Nonnegative Matrix Factorization (NMF) approximates a given data matrix as a product of two low rank nonnegative matrices, usually by minimizing the L2 or the KL distance between ...
Roman Sandler, Michael Lindenbaum
SDM
2007
SIAM
143views Data Mining» more  SDM 2007»
15 years 5 days ago
Less is More: Compact Matrix Decomposition for Large Sparse Graphs
Given a large sparse graph, how can we find patterns and anomalies? Several important applications can be modeled as large sparse graphs, e.g., network traffic monitoring, resea...
Jimeng Sun, Yinglian Xie, Hui Zhang, Christos Falo...
ICML
2003
IEEE
15 years 11 months ago
Weighted Low-Rank Approximations
We study the common problem of approximating a target matrix with a matrix of lower rank. We provide a simple and efficient (EM) algorithm for solving weighted low-rank approximat...
Nathan Srebro, Tommi Jaakkola
EMNLP
2004
15 years 4 days ago
LexPageRank: Prestige in Multi-Document Text Summarization
Multidocument extractive summarization relies on the concept of sentence centrality to identify the most important sentences in a document. Centrality is typically defined in term...
Günes Erkan, Dragomir R. Radev