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CVPR
2008
IEEE
14 years 9 months ago
Distributed data association and filtering for multiple target tracking
This paper presents a novel distributed framework for multi-target tracking with an efficient data association computation. A decentralized representation of trackers' motion...
Ting Yu, Ying Wu, Nils Krahnstoever, Peter H. Tu
EMMCVPR
2011
Springer
12 years 7 months ago
Data-Driven Importance Distributions for Articulated Tracking
Abstract. We present two data-driven importance distributions for particle filterbased articulated tracking; one based on background subtraction, another on depth information. In ...
Søren Hauberg, Kim Steenstrup Pedersen
IJACTAICIT
2010
153views more  IJACTAICIT 2010»
13 years 2 months ago
Prediction Using Recurrent Neural Network Based Fuzzy Inference system by the Modified Bees Algorithm
In this paper, a recurrent neural network based fuzzy inference system (RNFIS) for prediction is proposed. A recurrent network is embedded in the RNFIS by adding feedback connecti...
Zahra Khanmirzaei, Mohammad Teshnehlab
ASPDAC
2009
ACM
115views Hardware» more  ASPDAC 2009»
14 years 2 months ago
Incremental and on-demand random walk for iterative power distribution network analysis
— Power distribution networks (PDNs) are designed and analyzed iteratively. Random walk is among the most efficient methods for PDN analysis. We develop in this paper an increme...
Yiyu Shi, Wei Yao, Jinjun Xiong, Lei He
ALGORITHMICA
2008
78views more  ALGORITHMICA 2008»
13 years 8 months ago
Optimally Adaptive Integration of Univariate Lipschitz Functions
We consider the problem of approximately integrating a Lipschitz function f (with a known Lipschitz constant) over an interval. The goal is to achieve an error of at most using as...
Ilya Baran, Erik D. Demaine, Dmitriy A. Katz