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» Controlling the Complexity of HMM Systems by Regularization
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TIP
2008
169views more  TIP 2008»
13 years 4 months ago
Weakly Supervised Learning of a Classifier for Unusual Event Detection
In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...
Mark Jager, Christian Knoll, Fred A. Hamprecht
CSR
2006
Springer
13 years 8 months ago
Unfolding Synthesis of Asynchronous Automata
Zielonka's theorem shows that each regular set of Mazurkiewicz traces can be implemented as a system of synchronized processes provided with some distributed control structure...
Nicolas Baudru, Rémi Morin
SASO
2009
IEEE
13 years 11 months ago
Myconet: A Fungi-Inspired Model for Superpeer-Based Peer-to-Peer Overlay Topologies
Abstract—Unstructured peer-to-peer networks can be extremely flexible, but, because of size, complexity, and high variability in peers’ capacity and reliability, it is a conti...
Paul L. Snyder, Rachel Greenstadt, Giuseppe Valett...
ICMCS
2006
IEEE
144views Multimedia» more  ICMCS 2006»
13 years 11 months ago
A New Quantization for Rate Control with Frame Variation Consideration
— The main role of rate control in video coding is to handle a trade-off between a bandwidth limit and a video quality. In the low-delay video communication systems, its responsi...
Seonki Kim, Seong-Jae Lim
MICCAI
2006
Springer
14 years 5 months ago
Anatomical Modelling of the Musculoskeletal System from MRI
Abstract. This paper presents a novel approach for multi-organ (musculoskeletal system) automatic registration and segmentation from clinical MRI datasets, based on discrete deform...
Benjamin Gilles, Laurent Moccozet, Nadia Magnenat-...