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ICPR
2006
IEEE
15 years 11 months ago
Boosted Markov Chain Monte Carlo Data Association for Multiple Target Detection and Tracking
In this paper, we present a probabilistic framework for automatic detection and tracking of objects. We address the data association problem by formulating the visual tracking as ...
Bo Wu, Gérard G. Medioni, Isaac Cohen, Qian...
TVLSI
2008
133views more  TVLSI 2008»
14 years 9 months ago
Test Data Compression Using Selective Encoding of Scan Slices
We present a selective encoding method that reduces test data volume and test application time for scan testing of Intellectual Property (IP) cores. This method encodes the slices ...
Zhanglei Wang, Krishnendu Chakrabarty
TMM
2002
104views more  TMM 2002»
14 years 9 months ago
Spatial contextual classification and prediction models for mining geospatial data
Modeling spatial context (e.g., autocorrelation) is a key challenge in classification problems that arise in geospatial domains. Markov random fields (MRF) is a popular model for i...
Shashi Shekhar, Paul R. Schrater, Ranga Raju Vatsa...
MTA
2007
110views more  MTA 2007»
14 years 9 months ago
On aggregate available bandwidth in many-to-one data transfer - modeling and applications
Abstract This work investigates the modeling of aggregate available bandwidth in multisender network applications. Unlike the well-established client–server model, where there is...
S. C. Hui, Jack Y. B. Lee
INFOCOM
2011
IEEE
14 years 1 months ago
Consolidating virtual machines with dynamic bandwidth demand in data centers
—Recent advances in virtualization technology have made it a common practice to consolidate virtual machines(VMs) into a fewer number of servers. An efficient consolidation sche...
Meng Wang, Xiaoqiao Meng, Li Zhang 0002