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» A Trainable Document Summarizer
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ICIP
2006
IEEE
14 years 9 months ago
Extraction of Significant Video Summaries by Dendrogram Analysis
In the current video analysis scenario, effective clustering of shots facilitates the access to the content and helps in understanding the associated semantics. This paper introdu...
Sergio Benini, Aldo Bianchetti, Riccardo Leonardi,...
ICML
2006
IEEE
14 years 8 months ago
Pachinko allocation: DAG-structured mixture models of topic correlations
Latent Dirichlet allocation (LDA) and other related topic models are increasingly popular tools for summarization and manifold discovery in discrete data. However, LDA does not ca...
Wei Li, Andrew McCallum
ECOOP
2009
Springer
14 years 8 months ago
Supporting Framework Use via Automatically Extracted Concept-Implementation Templates
Abstract. Application frameworks provide reusable concepts that are instantiated in application code through potentially complex implementation steps such as subclassing, implement...
Abbas Heydarnoori, Krzysztof Czarnecki, Thiago T. ...
KDD
2007
ACM
167views Data Mining» more  KDD 2007»
14 years 7 months ago
Multiscale topic tomography
Modeling the evolution of topics with time is of great value in automatic summarization and analysis of large document collections. In this work, we propose a new probabilistic gr...
Ramesh Nallapati, Susan Ditmore, John D. Lafferty,...
ICRA
2009
IEEE
119views Robotics» more  ICRA 2009»
14 years 2 months ago
Rapid pole climbing with a quadrupedal robot
— This paper describes the development of a legged robot designed for general locomotion of complex terrain but specialized for dynamical, high-speed climbing of a uniformly conv...
G. Clark Haynes, Alex Khripin, Goran Lynch, Jonath...