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» Extractive summarization using a latent variable model
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ECCV
2010
Springer
15 years 4 months ago
Inferring 3D Shapes and Deformations from Single Views
Abstract. In this paper we propose a probabilistic framework that models shape variations and infers dense and detailed 3D shapes from a single silhouette. We model two types of sh...
CVPR
2012
IEEE
13 years 2 months ago
Image categorization using Fisher kernels of non-iid image models
The bag-of-words (BoW) model treats images as an unordered set of local regions and represents them by visual word histograms. Implicitly, regions are assumed to be identically an...
Ramazan Gokberk Cinbis, Jakob J. Verbeek, Cordelia...
ICONIP
2007
15 years 1 months ago
Discovery of Linear Non-Gaussian Acyclic Models in the Presence of Latent Classes
Abstract. An effective way to examine causality is to conduct an experiment with random assignment. However, in many cases it is impossible or too expensive to perform controlled ...
Shohei Shimizu, Aapo Hyvärinen
ICASSP
2009
IEEE
15 years 6 months ago
A global optimization framework for meeting summarization
We introduce a model for extractive meeting summarization based on the hypothesis that utterances convey bits of information, or concepts. Using keyphrases as concepts weighted by...
Daniel Gillick, Korbinian Riedhammer, Benoît...
SPIN
2007
Springer
15 years 5 months ago
SAT-Based Summarization for Boolean Programs
Boolean programs are frequently used to model abstractions of software programs. They have the advantage that reachability properties are decidable, despite the fact that their sta...
Gérard Basler, Daniel Kroening, Georg Weiss...