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» Selectivity Estimation using Probabilistic Models
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TASLP
2002
109views more  TASLP 2002»
15 years 4 months ago
Particle methods for Bayesian modeling and enhancement of speech signals
This paper applies time-varying autoregressive (TVAR) models with stochastically evolving parameters to the problem of speech modeling and enhancement. The stochastic evolution mod...
Jaco Vermaak, Christophe Andrieu, Arnaud Doucet, S...
TMC
2010
152views more  TMC 2010»
15 years 3 months ago
On Multihop Distances in Wireless Sensor Networks with Random Node Locations
—Location and intersensor distance estimations are important functions for the operation of wireless sensor networks, especially when protocols can benefit from the distance info...
Serdar Vural, Eylem Ekici
ASIAMS
2009
IEEE
15 years 11 months ago
CSI Feedback Model in the Context of Adaptive Cognitive Radio Systems
Cognitive radio has the ability to sense the environment and adapt its behavior to optimize communication features, such as quality of service in the presence of interference and ...
Haleh Hosseini, Anis Izzati Ahmad Zamani, Sharifah...
CVPR
2003
IEEE
16 years 6 months ago
Variational Inference for Visual Tracking
The likelihood models used in probabilistic visual tracking applications are often complex non-linear and/or nonGaussian functions, leading to analytically intractable inference. ...
Jaco Vermaak, Neil D. Lawrence, Patrick Pér...
CVPR
2008
IEEE
16 years 6 months ago
A mixed generative-discriminative framework for pedestrian classification
This paper presents a novel approach to pedestrian classification which involves utilizing the synthesized virtual samples of a learned generative model to enhance the classificat...
Markus Enzweiler, Dariu M. Gavrila