143 search results - page 10 / 29 » Probabilistic matrix tri-factorization |
CVPR
2004
IEEE
14 years 9 months ago
2004
IEEE
Linear Discriminant Analysis (LDA) is popular feature extraction technique for face recognition. However, it often suffers from the small sample size problem when dealing with the...
AAAI
2008
13 years 10 months ago
2008
Matrix factorization algorithms are frequently used in the machine learning community to find low dimensional representations of data. We introduce a novel generative Bayesian pro...
NIPS
2008
13 years 9 months ago
2008
Principal Components Analysis (PCA) has become established as one of the key tools for dimensionality reduction when dealing with real valued data. Approaches such as exponential ...
EUROCRYPT
2004
Springer
14 years 1 months ago
2004
Springer
Generating a distributed key, where a constant fraction of the players can reconstruct the key, is an essential component of many largescale distributed computing tasks such as ful...
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
In this paper, we propose a new transductive learning framework for image retrieval, in which images are taken as vertices in a weighted hypergraph and the task of image search is...