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SCIA
2009
Springer
305views Image Analysis» more  SCIA 2009»
14 years 2 months ago
A Convex Approach to Low Rank Matrix Approximation with Missing Data
Many computer vision problems can be formulated as low rank bilinear minimization problems. One reason for the success of these problems is that they can be efficiently solved usin...
Carl Olsson, Magnus Oskarsson
VLDB
1997
ACM
112views Database» more  VLDB 1997»
13 years 11 months ago
Selectivity Estimation Without the Attribute Value Independence Assumption
The result size of a query that involves multiple attributes from the same relation depends on these attributes’ joint data distribution,i.e., the frequencies of all combination...
Viswanath Poosala, Yannis E. Ioannidis
WEBI
2001
Springer
14 years 1 days ago
Collaborative Filtering Using Principal Component Analysis and Fuzzy Clustering
: Automated collaborative filtering is a popular technique for reducing information overload. In this paper, we propose a new approach for the collaborative filtering using local...
Katsuhiro Honda, Nobukazu Sugiura, Hidetomo Ichiha...
HICSS
2010
IEEE
200views Biometrics» more  HICSS 2010»
13 years 9 months ago
Instability of Relevance-Ranked Results Using Latent Semantic Indexing for Web Search
1 The latent semantic indexing (LSI) methodology for information retrieval applies the singular value decomposition to identify an eigensystem for a large matrix, in which cells re...
Houssain Kettani, Gregory B. Newby
ECCV
2002
Springer
14 years 9 months ago
Learning Shape from Defocus
We present a novel method for inferring three-dimensional shape from a collection of defocused images. It is based on the observation that defocused images are the null-space of ce...
Paolo Favaro, Stefano Soatto