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» On the Complexity of Model Expansion
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ISCAS
2008
IEEE
171views Hardware» more  ISCAS 2008»
15 years 10 months ago
Statistical image modeling using von Mises distribution in the complex directional wavelet domain
— In this paper, a new statistical model is proposed for modeling the nature images in the transform domain. We demonstrate that the von Mises distribution (VM) fits accurately ...
An P. N. Vo, Soontorn Oraintara, Truong T. Nguyen
ESAW
2006
Springer
15 years 8 months ago
Modelling and Executing Complex and Dynamic Business Processes by Reification of Agent Interactions
Interaction refers to an abstract and intangible concept. In modelling, intangible concepts can be embodied and made explicit. This allows to manipulate the abstractions and to bui...
Marco Stuit, Nick B. Szirbik
JSYML
2007
95views more  JSYML 2007»
15 years 4 months ago
Applications of Kolmogorov complexity to computable model theory
In this paper we answer the following well-known open question in computable model theory. Does there exist a computable not ℵ0-categorical saturated structure with a unique com...
Bakhadyr Khoussainov, Pavel Semukhin, Frank Stepha...
ISCAS
2007
IEEE
152views Hardware» more  ISCAS 2007»
15 years 10 months ago
Reduced Complexity Space-Time-Frequency Model for Multi-Channel EEG and Its Applications
— Searching for an efficient summarization of multi-channel electroencephalogram (EEG) behavior is a challenging signal analysis problem. Recently, parallel factor analysis (PAR...
Yodchanan Wongsawat, Soontorn Oraintara, K. R. Rao
ROBOCUP
2007
Springer
153views Robotics» more  ROBOCUP 2007»
15 years 10 months ago
Model-Based Reinforcement Learning in a Complex Domain
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
Shivaram Kalyanakrishnan, Peter Stone, Yaxin Liu