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JMLR
2010
140views more  JMLR 2010»
13 years 2 months ago
Learning Non-Stationary Dynamic Bayesian Networks
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
Joshua W. Robinson, Alexander J. Hartemink
JMLR
2010
125views more  JMLR 2010»
13 years 2 months ago
Maximum Likelihood in Cost-Sensitive Learning: Model Specification, Approximations, and Upper Bounds
The presence of asymmetry in the misclassification costs or class prevalences is a common occurrence in the pattern classification domain. While much interest has been devoted to ...
Jacek P. Dmochowski, Paul Sajda, Lucas C. Parra
MICRO
2010
IEEE
143views Hardware» more  MICRO 2010»
13 years 2 months ago
SD3: A Scalable Approach to Dynamic Data-Dependence Profiling
Abstract--As multicore processors are deployed in mainstream computing, the need for software tools to help parallelize programs is increasing dramatically. Data-dependence profili...
Minjang Kim, Hyesoon Kim, Chi-Keung Luk
TCIAIG
2010
13 years 2 months ago
Cinematic Visual Discourse: Representation, Generation, and Evaluation
In this paper, we present the design, implementation, and evaluation of an end-to-end camera planning system called Darshak. Darshak automatically constructs cinematic narrative di...
Arnav Jhala, R. Michael Young
TIP
2010
121views more  TIP 2010»
13 years 2 months ago
Robust Processing of Optical Flow of Fluids
Abstract--This paper proposes a new approach, coupling physical models and image estimation techniques, for modelling the movement of fluids. The fluid flow is characterized by tur...
Ashish Doshi, Adrian G. Bors