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» Algorithmic Complexity Bounds on Future Prediction Errors
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ICANNGA
2007
Springer
100views Algorithms» more  ICANNGA 2007»
15 years 3 months ago
Softening Splits in Decision Trees Using Simulated Annealing
Predictions computed by a classification tree are usually constant on axis-parallel hyperrectangles corresponding to the leaves and have strict jumps on their boundaries. The densi...
Jakub Dvorák, Petr Savický
ICIP
2001
IEEE
16 years 1 months ago
Prescient mode selection for robust video coding
In standard predictive video coders, intra-mode coding of macroblocks (MBs) provides packet loss resilience, at the cost of reduced compression efficiency. Conventional mode selec...
Rui Zhang, Shankar L. Regunathan, Kenneth Rose
ICC
2007
IEEE
15 years 6 months ago
Statistical Pruning for Near Maximum Likelihood Detection of MIMO Systems
Abstract— We show a statistical pruning approach for maximum likelihood (ML) detection of multiple-input multiple-output (MIMO) systems. We present a general pruning strategy for...
Tao Cui, Tracey Ho, Chintha Tellambura
TNN
2010
216views Management» more  TNN 2010»
14 years 6 months ago
Simplifying mixture models through function approximation
Finite mixture model is a powerful tool in many statistical learning problems. In this paper, we propose a general, structure-preserving approach to reduce its model complexity, w...
Kai Zhang, James T. Kwok
ECRTS
2004
IEEE
15 years 3 months ago
Multiprocessor Energy-Efficient Scheduling with Task Migration Considerations
This paper targets energy-efficient scheduling of tasks over multiple processors, where tasks share a common deadline. Distinct from many research results on heuristics-based ener...
Jian-Jia Chen, Heng-Ruey Hsu, Kai-Hsiang Chuang, C...