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COGSCI
2002
99views more  COGSCI 2002»
13 years 7 months ago
Learning words from sights and sounds: a computational model
This paper presents an implemented computational model of word acquisition which learns directly from raw multimodal sensory input. Set in an information theoretic framework, the ...
Deb Roy, Alex Pentland
MVA
2010
130views Computer Vision» more  MVA 2010»
13 years 6 months ago
Neighborhood linear embedding for intrinsic structure discovery
In this paper, an unsupervised learning algorithm, neighborhood linear embedding (NLE), is proposed to discover the intrinsic structures such as neighborhood relationships, global ...
Shuzhi Sam Ge, Feng Guan, Yaozhang Pan, Ai Poh Loh

Book
5396views
15 years 6 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li
VLSID
2007
IEEE
206views VLSI» more  VLSID 2007»
14 years 8 months ago
MAX: A Multi Objective Memory Architecture eXploration Framework for Embedded Systems-on-Chip
Today's feature-rich multimedia products require embedded system solution with complex System-on-Chip (SoC) to meet market expectations of high performance at a low cost and l...
T. S. Rajesh Kumar, C. P. Ravikumar, R. Govindaraj...
DASFAA
2009
IEEE
122views Database» more  DASFAA 2009»
13 years 11 months ago
Optimization on Data Object Compression and Replication in Wireless Multimedia Sensor Networks
Wireless Multimedia Sensor Networks (WMSNs) have brought unprecedented potentials for applications requiring ubiquitous access to multimedia contents such as still images. However,...
MingJian Tang, Jinli Cao, Xiaohua Jia, Ke-Yan Liu