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ICPR
2002
IEEE
14 years 10 months ago
Context-Sensitive Bayesian Classifiers and Application to Mouse Pressure Pattern Classification
In this paper, we propose a new context-sensitive Bayesian learning algorithm. By modeling the distributions of data locations by a mixture of Gaussians, the new algorithm can uti...
Yuan (Alan) Qi, Rosalind W. Picard
VLDB
2005
ACM
82views Database» more  VLDB 2005»
14 years 2 months ago
Stack-based Algorithms for Pattern Matching on DAGs
Existing work for query processing over graph data models often relies on pre-computing the transitive closure or path indexes. In this paper, we propose a family of stack-based a...
Li Chen, Amarnath Gupta, M. Erdem Kurul
TCOM
2010
67views more  TCOM 2010»
13 years 7 months ago
Weakly-Constrained Codes for Suppression of Patterning Effects in Digital Communications
—We propose weakly-constrained stream and block codes with tunable pattern-dependent statistics and demonstrate that the block code capacity at large block sizes is close to the ...
Alexander V. Shafarenko, Anton Skidin, Sergei K. T...
WEBNET
2000
13 years 10 months ago
Experiences from the Development and Use of Simulation Software for Complex Systems Education
In this paper, we present our lessons from the design and use of two educational software tools for teaching behavioral modeling to graduate students of digital art. The tools, Pai...
Elpida Tzafestas
AAAI
1998
13 years 10 months ago
Structured Representation of Complex Stochastic Systems
This paperconsidersthe problem of representingcomplex systems that evolve stochastically over time. Dynamic Bayesian networks provide a compact representation for stochastic proce...
Nir Friedman, Daphne Koller, Avi Pfeffer