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NECO
2002
104views more  NECO 2002»
14 years 9 months ago
An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
Harri Valpola, Juha Karhunen
TIT
2011
116views more  TIT 2011»
14 years 4 months ago
Approximate Characterizations for the Gaussian Source Broadcast Distortion Region
We consider the joint source-channel coding problem of sending a Gaussian source over a K-user Gaussian broadcast channel with bandwidth mismatch. A new outer bound to the achieva...
Chao Tian, Suhas N. Diggavi, Shlomo Shamai
VTC
2008
IEEE
117views Communications» more  VTC 2008»
15 years 4 months ago
Design of Rate Constrained Multi-User Receivers for Satellite Communications
—In the realm of satellite communications, one of the great impairments to increase the spectral efficiency is multi-user interference in the reverse link (mobile to satellite). ...
Sami Mekki, Mérouane Debbah
PPOPP
1997
ACM
15 years 1 months ago
Shared Memory Performance Profiling
This paper describes a new approach to finding performance bottlenecks in shared-memory parallel programs and its embodiment in the Paradyn Parallel Performance Tools running with...
Zhichen Xu, James R. Larus, Barton P. Miller
AVBPA
2005
Springer
255views Biometrics» more  AVBPA 2005»
15 years 3 months ago
Towards Scalable View-Invariant Gait Recognition: Multilinear Analysis for Gait
Abstract. In this paper we introduce a novel approach for learning view-invariant gait representation that does not require synthesizing particular views or any camera calibration....
Chan-Su Lee, Ahmed M. Elgammal