2949 search results - page 36 / 590 » Universal Sparse Modeling |
103
Voted
ACL
2012
13 years 21 days ago
2012
We propose a latent variable model to enhance historical analysis of large corpora. This work extends prior work in topic modelling by incorporating metadata, and the interactions...
ICIAP
2007
ACM
15 years 10 months ago
2007
ACM
In this paper, a novel learning algorithm for Hidden Markov Models (HMMs) has been devised. The key issue is the achievement of a sparse model, i.e., a model in which all irreleva...
112
Voted
SIAMIS
2011
14 years 5 months ago
2011
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...
74
Voted
ICIP
2004
IEEE
15 years 12 months ago
2004
IEEE
We propose a mixture of multiple linear models, also known as hybrid linear model, for a sparse representation of an image. This is a generalization of the conventional KarhunenLo...
63
Voted
IJCNN
2006
IEEE
15 years 4 months ago
2006
IEEE
— In this paper we have suggested a sparse three dimensional array model for the brain. Entries of the array are synaptic weights as functions of time. This is a typical four dim...