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» Using model knowledge for learning inverse dynamics
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132
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ICPR
2000
IEEE
16 years 4 months ago
Image Distance Using Hidden Markov Models
We describe a method for learning statistical models of images using a second-order hidden Markov mesh model. First, an image can be segmented in a way that best matches its stati...
Daniel DeMenthon, David S. Doermann, Marc Vuilleum...
125
Voted
FGR
2008
IEEE
170views Biometrics» more  FGR 2008»
15 years 10 months ago
Using an adaptive VAR Model for motion prediction in 3D hand tracking
A robust VAR-based (vector autoregressive) model is introduced for motion prediction in 3D hand tracking. This dynamic VAR motion model is learned in an online manner. The kinemat...
Desmond Chik, Jochen Trumpf, Nicol N. Schraudolph
CSE
2009
IEEE
15 years 6 months ago
Development and Validation of an Agent-Based Simulation Model of Juvenile Delinquency
This paper describes the development and validation of a dynamic multi-agent model to simulate social learning of adolescence-limited criminal behaviour. The parameters of the age...
Tibor Bosse, Charlotte Gerritsen, Michel C. A. Kle...
138
Voted
IJCAI
1993
15 years 4 months ago
Perception and Experience in Problem Solving
Whilst much emphasis in AI has been placed on the use of goals in problem solving, less emphasis has been placed on the role of perception and experience. In this paper we show th...
Edmund Furse, Rod Nicolson
127
Voted
JMLR
2006
125views more  JMLR 2006»
15 years 3 months ago
Spam Filtering Using Statistical Data Compression Models
Spam filtering poses a special problem in text categorization, of which the defining characteristic is that filters face an active adversary, which constantly attempts to evade fi...
Andrej Bratko, Gordon V. Cormack, Bogdan Filipic, ...