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PAMI
2007
186views more  PAMI 2007»
15 years 4 months ago
Value-Directed Human Behavior Analysis from Video Using Partially Observable Markov Decision Processes
—This paper presents a method for learning decision theoretic models of human behaviors from video data. Our system learns relationships between the movements of a person, the co...
Jesse Hoey, James J. Little
160
Voted
CI
2011
93views more  CI 2011»
14 years 12 months ago
Supporting clinical processes and decisions by hierarchical planning and scheduling
This paper is focused on how a general-purpose hierarchical planning representation, based on the HTN paradigm, can be used to support the representation of oncology treatment pro...
Juan Fernández-Olivares, Luis A. Castillo, ...
OTM
2009
Springer
15 years 11 months ago
Evaluating Transport Protocols for Real-Time Event Stream Processing Middleware and Applications
Real-time event stream processing (RT-ESP) applications must synchronize continuous data streams despite fluctuations in resource availability. Satisfying these needs of RT-ESP ap...
Joe Hoffert, Douglas C. Schmidt, Aniruddha S. Gokh...
ESANN
2007
15 years 6 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
DAC
2010
ACM
15 years 5 months ago
Parallel multigrid preconditioning on graphics processing units (GPUs) for robust power grid analysis
Leveraging the power of nowadays graphics processing units for robust power grid simulation remains a challenging task. Existing preconditioned iterative methods that require inco...
Zhuo Feng, Zhiyu Zeng