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» Approximate Learning of Dynamic Models
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GLOBECOM
2009
IEEE
15 years 10 months ago
Fair Energy-Efficient Resource Allocation over Fading TDMA Channels
In this paper, we consider the energy-efficient resource allocation that minimizes a general cost function of average user powers in wireless networks. A class of so-called -fair c...
Xin Wang, Di Wang, Hanqi Zhuang, Salvatore D. Morg...
ICML
2009
IEEE
16 years 7 months ago
A stochastic memoizer for sequence data
We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
Frank Wood, Cédric Archambeau, Jan Gasthaus...
WSC
1997
15 years 7 months ago
A Hybrid Tool for the Performance Evaluation of NUMA Architectures
We present a system for describing and solving closed queuing network models of the memory access performance of NUMA architectures. The system consists of a model description lan...
James Westall, Robert Geist
IROS
2009
IEEE
138views Robotics» more  IROS 2009»
16 years 27 days ago
Using eigenposes for lossless periodic human motion imitation
— Programming a humanoid robot to perform an action that takes the robot’s complex dynamics into account is a challenging problem. Traditional approaches typically require high...
Rawichote Chalodhorn, Rajesh P. N. Rao
ICPR
2010
IEEE
15 years 6 months ago
A Probabilistic Language Model for Hand Drawings
Probabilistic language models are critical to applications in natural language processing that include speech recognition, optical character recognition, and interfaces for text e...
Abdullah Akce, Timothy Bretl