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» Learning for Dynamic Subsumption
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119
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BIRTHDAY
2008
Springer
15 years 5 months ago
Dynamically Evolvable Dependable Software: From Oxymoron to Reality
We analyze the main motivations that lead to the present need for supporting continuous software evolution, and discuss some of the reasons for change requirements. Achieving softw...
Carlo Ghezzi, Paola Inverardi, Carlo Montangero
IICAI
2007
15 years 4 months ago
Modeling Temporal Behavior via Structured Hidden Markov Models: an Application to Keystroking Dynamics
Structured Hidden Markov Models (S-HMM) are a variant of Hierarchical Hidden Markov Models; it provides an abstraction mechanism allowing a high level symbolic description of the k...
Ugo Galassi, Attilio Giordana, Charbel Julien, Lor...
131
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SODA
1998
ACM
113views Algorithms» more  SODA 1998»
15 years 4 months ago
Fast Hierarchical Clustering and Other Applications of Dynamic Closest Pairs
We develop data structures for dynamic closest pair problems with arbitrary (not necessarily geometric) distance functions, based on a technique previously used by the author for ...
David Eppstein
ICCV
2007
IEEE
15 years 3 months ago
Efficient Silhouette Extraction with Dynamic Viewpoint
A novel approach is proposed that extends the classical background subtraction method to extract silhouettes from videos in real time with dynamic viewpoint variation caused by ca...
Yueting Zhuang, Cheng Chen
172
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Publication
313views
15 years 4 months ago
Visual Surveillance: Dynamic Behavior Analysis at Multiple Levels
New cameras are installed daily all around the world. Hence it becomes increasingly important to develop methods for reducing the manual effort that is still required for video ana...
Michael D. Breitenstein