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» Building a Stochastic Dynamic Model of Application Use
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AAAI
1997
13 years 10 months ago
Effective Bayesian Inference for Stochastic Programs
In this paper, we propose a stochastic version of a general purpose functional programming language as a method of modeling stochastic processes. The language contains random choi...
Daphne Koller, David A. McAllester, Avi Pfeffer
ICMCS
2006
IEEE
219views Multimedia» more  ICMCS 2006»
14 years 3 months ago
Analysis of Multi-User Congestion Control for Video Streaming Over Wireless Networks
When multiple video sources are live-encoded and transmitted over a common wireless network, each stream needs to adapt its encoding parameters to wireless channel fluctuations, ...
Xiaoqing Zhu, Bernd Girod
ICCV
2001
IEEE
14 years 11 months ago
Topology Free Hidden Markov Models: Application to Background Modeling
Hidden Markov Models (HMMs) are increasingly being used in computer vision for applications such as: gesture analysis, action recognition from video, and illumination modeling. Th...
Bjoern Stenger, Visvanathan Ramesh, Nikos Paragios...
ICC
2009
IEEE
109views Communications» more  ICC 2009»
14 years 3 months ago
Measurement-Based Modeling of Vehicle-to-Vehicle MIMO Channels
— Vehicle-to-vehicle (VTV) communications are of interest for applications within traffic safety and congestion avoidance, but the development of suitable communications systems...
Johan Karedal, Fredrik Tufvesson, Nicolai Czink, A...
JPDC
2006
103views more  JPDC 2006»
13 years 9 months ago
Fractal: A mobile code-based framework for dynamic application protocol adaptation
The rapid growth of heterogeneous devices and diverse networks in our daily life, makes it is very difficult, if not impossible, to build a one-size-fits-all application or protoc...
Hanping Lufei, Weisong Shi