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CVPR
2005
IEEE
15 years 12 months ago
Hybrid Models for Human Motion Recognition
Probabilistic models have been previously shown to be efficient and effective for modeling and recognition of human motion. In particular we focus on methods which represent the h...
Claudio Fanti, Lihi Zelnik-Manor, Pietro Perona
EUSFLAT
2009
175views Fuzzy Logic» more  EUSFLAT 2009»
14 years 7 months ago
The Minimization of the Risk of Falling in Portfolios under Uncertainty
Abstract-- A portfolio model to minimize the risk of falling under uncertainty is discussed. The risk of falling is represented by the value-at-risk of rate of return. Introducing ...
Yuji Yoshida
HASE
1999
IEEE
15 years 2 months ago
Analyzing the Real-Time Properties of a U.S. Navy Signal Processing System
The state of the art in verifying the real-time requirements of applications developed using general processing graph models relies on simulation or off-line scheduling. We extend...
Steve Goddard, Kevin Jeffay
IAJIT
2008
134views more  IAJIT 2008»
14 years 10 months ago
A Dynamic Traffic Shaping Technique for a Scalable QoS in ATM Networks
: Traffic shaping function becomes imperative for the new broadband services that are being deployed in order to avoid information loss, to provide the end users multiple traffic o...
Francis Joseph Ogwu, Mohammad Talib, Ganiyu Aderou...
ICCD
2006
IEEE
185views Hardware» more  ICCD 2006»
15 years 6 months ago
An accurate Energy estimation framework for VLIW Processor Cores
— In this paper, we present a comprehensive energy estimation framework for software executing on Very Long Instruction Word (VLIW) processor cores. The proposed energy model is ...
Sourav Roy, Rajat Bhatia, Ashish Mathur