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» A Novel Framework for Visualizing Declarative Process Models
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JGTOOLS
2008
189views more  JGTOOLS 2008»
14 years 9 months ago
Subtractive Shadows: A Flexible Framework for Shadow Level of Detail
Abstract. We explore the implications of reversing the process of shadow computation for real-time applications that model complex reflectance and lighting (such as that specified ...
Christopher DeCoro, Szymon Rusinkiewicz
CIVR
2010
Springer
276views Image Analysis» more  CIVR 2010»
15 years 2 months ago
Optimizing visual search with implicit user feedback in interactive video retrieval
This paper describes an approach to optimize query by visual example results, by combining visual features and implicit user feedback in interactive video retrieval. To this end, ...
Stefanos Vrochidis, Ioannis Kompatsiaris, Ioannis ...
DAGM
2008
Springer
14 years 11 months ago
Boosting for Model-Based Data Clustering
In this paper a novel and generic approach for model-based data clustering in a boosting framework is presented. This method uses the forward stagewise additive modeling to learn t...
Amir Saffari, Horst Bischof
ICIAP
2007
ACM
15 years 10 months ago
Sparseness Achievement in Hidden Markov Models
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...
Manuele Bicego, Marco Cristani, Vittorio Murino
CIVR
2007
Springer
247views Image Analysis» more  CIVR 2007»
15 years 4 months ago
Near-duplicate keyframe retrieval with visual keywords and semantic context
Near-duplicate keyframes (NDK) play a unique role in large-scale video search, news topic detection and tracking. In this paper, we propose a novel NDK retrieval approach by explo...
Xiao Wu, Wanlei Zhao, Chong-Wah Ngo