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» Extractive summarization using a latent variable model
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139
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PAMI
2008
162views more  PAMI 2008»
15 years 2 months ago
Dimensionality Reduction of Clustered Data Sets
We present a novel probabilistic latent variable model to perform linear dimensionality reduction on data sets which contain clusters. We prove that the maximum likelihood solution...
Guido Sanguinetti
CVPR
2012
IEEE
13 years 5 months ago
Top-down visual saliency via joint CRF and dictionary learning
Top-down visual saliency facilities object localization by providing a discriminative representation of target objects and a probability map for reducing the search space. In this...
Jimei Yang, Ming-Hsuan Yang
AIIDE
2008
15 years 4 months ago
Automatically Generating Summary Visualizations from Game Logs
In this paper we describe a system called ViGLS (Visualization of Game Log Summaries) that generates summaries of gameplay sessions from game logs. ViGLS automatically produces vi...
Yun-Gyung Cheong, Arnav Jhala, Byung-Chull Bae, R....
124
Voted
DATE
2010
IEEE
140views Hardware» more  DATE 2010»
15 years 7 months ago
Variation-aware interconnect extraction using statistical moment preserving model order reduction
—1 In this paper we present a stochastic model order reduction technique for interconnect extraction in the presence of process variabilities, i.e. variation-aware extraction. It...
Tarek A. El-Moselhy, Luca Daniel
118
Voted
CVPR
2007
IEEE
16 years 4 months ago
Hybrid learning of large jigsaws
A jigsaw is a recently proposed generative model that describes an image as a composition of non-overlapping patches of varying shape, extracted from a latent image. By learning t...
Julia A. Lasserre, Anitha Kannan, John M. Winn