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» Pose-Based Clustering in Action Sequences
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ICASSP
2011
IEEE
13 years 1 months ago
Joint modeling of observed inter-arrival times and waveform data with multiple hidden states for neural spike-sorting
We present a novel, maximum likelihood framework for automatic spike-sorting based on a joint statistical model of action potential waveform shape and inter-spike interval duratio...
Brett Matthews, Mark Clements
PAAPP
2007
112views more  PAAPP 2007»
13 years 9 months ago
A study on video viewing behavior: application to movie trailer miner
In this paper, we present a study on video viewing behavior. Based on a well-suited Markovian model, we have developed a clustering algorithm called K-Models and inspired by the K...
Sylvain Mongy
IDEAL
2010
Springer
13 years 8 months ago
Applying Clustering Techniques to Reduce Complexity in Automated Planning Domains
Automated Planning is a very active area of research within Artificial Intelligence. Broadly this discipline deals with the methods by which an agent can independently determine t...
Luke Dicken, John Levine
ICCV
2009
IEEE
15 years 2 months ago
Recognizing Actions by Shape-Motion Prototype Trees
A prototype-based approach is introduced for action recognition. The approach represents an action as a se- quence of prototypes for efficient and flexible action match- ing in ...
Zhe Lin, Zhuolin Jiang, Larry S. Davis
EACL
2003
ACL Anthology
13 years 11 months ago
Automatic Acquisition of Script Knowledge from a Text Collection
In this paper, we describe a method for automatic acquisition of script knowledge from a Japanese text collection. Script knowledge represents a typical sequence of actions that o...
Toshiaki Fujiki, Hidetsugu Nanba, Manabu Okumura