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ICIP
2007
IEEE
14 years 8 months ago
Large Scale Learning of Active Shape Models
We propose a framework to learn statistical shape models for faces as piecewise linear models. Specifically, our methodology builds upon primitive active shape models(ASM) to hand...
Atul Kanaujia, Dimitris N. Metaxas
TC
2010
13 years 4 months ago
Design and Analysis of On-Chip Networks for Large-Scale Cache Systems
—Switched networks have been adopted in on-chip communication for their scalability and efficient resource sharing. However, using a general network for a specific domain may res...
Yuho Jin, Eun Jung Kim, Ki Hwan Yum
PADS
2004
ACM
13 years 11 months ago
Conservative Synchronization of Large-Scale Network Simulations
Parallel discrete event simulation techniques have enabled the realization of large-scale models of communication networks containing millions of end hosts and routers. However, t...
Alfred Park, Richard M. Fujimoto, Kalyan S. Peruma...
INFOCOM
2003
IEEE
13 years 11 months ago
Prophet Address Allocation for Large Scale MANETs
—A mobile device in a MANET must be assigned a free IP address before it may participate in unicast communication. This is a fundamental and difficult problem in the practical us...
Hongbo Zhou, Lionel M. Ni, Matt W. Mutka
BMCBI
2008
220views more  BMCBI 2008»
13 years 6 months ago
Gene prediction in metagenomic fragments: A large scale machine learning approach
Background: Metagenomics is an approach to the characterization of microbial genomes via the direct isolation of genomic sequences from the environment without prior cultivation. ...
Katharina J. Hoff, Maike Tech, Thomas Lingner, Rol...