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» Using Clustering Methods for Discovering Event Structures
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158
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BMCBI
2007
141views more  BMCBI 2007»
15 years 3 months ago
Reconstruction of human protein interolog network using evolutionary conserved network
Background: The recent increase in the use of high-throughput two-hybrid analysis has generated large quantities of data on protein interactions. Specifically, the availability of...
Tao-Wei Huang, Chung-Yen Lin, Cheng-Yan Kao
154
Voted
BMVC
2010
15 years 1 months ago
Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation
We investigate the task of 2D articulated human pose estimation in unconstrained still images. This is extremely challenging because of variation in pose, anatomy, clothing, and i...
Sam Johnson, Mark Everingham
159
Voted
ISBRA
2007
Springer
15 years 9 months ago
Reconstruction of 3D Structures from Protein Contact Maps
Proteins are large organic compounds made of amino acids arranged in a linear chain (primary structure). Most proteins fold into unique threedimensional (3D) structures called inte...
Marco Vassura, Luciano Margara, Filippo Medri, Pie...
143
Voted
MM
2005
ACM
146views Multimedia» more  MM 2005»
15 years 9 months ago
Unsupervised content discovery in composite audio
Automatically extracting semantic content from audio streams can be helpful in many multimedia applications. Motivated by the known limitations of traditional supervised approache...
Rui Cai, Lie Lu, Alan Hanjalic
169
Voted
ICDCS
2012
IEEE
13 years 5 months ago
NEAT: Road Network Aware Trajectory Clustering
—Mining trajectory data has been gaining significant interest in recent years. However, existing approaches to trajectory clustering are mainly based on density and Euclidean di...
Binh Han, Ling Liu, Edward Omiecinski