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» Performance and Attention in Multi-Agent Tasks
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BMCBI
2008
228views more  BMCBI 2008»
15 years 17 days ago
Adaptive diffusion kernel learning from biological networks for protein function prediction
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
Liang Sun, Shuiwang Ji, Jieping Ye
85
Voted
CHI
2005
ACM
16 years 25 days ago
EyeWindows: evaluation of eye-controlled zooming windows for focus selection
In this paper, we present an attentive windowing technique that uses eye tracking, rather than manual pointing, for focus window selection. We evaluated the performance of 4 focus...
David Fono, Roel Vertegaal
ICIP
2005
IEEE
16 years 2 months ago
Efficient video mosaicing based on motion analysis
Presenting more comprehensive information than key frame and any subset of frames, mosaic has attracted a growing attention in recent years as a useful element for a variety of vi...
Tao Mei, Xian-Sheng Hua, He-Qin Zhou, Shipeng Li, ...
99
Voted
ICML
2005
IEEE
16 years 1 months ago
Beyond the point cloud: from transductive to semi-supervised learning
Due to its occurrence in engineering domains and implications for natural learning, the problem of utilizing unlabeled data is attracting increasing attention in machine learning....
Vikas Sindhwani, Partha Niyogi, Mikhail Belkin
92
Voted
KDD
2006
ACM
160views Data Mining» more  KDD 2006»
16 years 26 days ago
Coherent closed quasi-clique discovery from large dense graph databases
Frequent coherent subgraphscan provide valuable knowledgeabout the underlying internal structure of a graph database, and mining frequently occurring coherent subgraphs from large...
Zhiping Zeng, Jianyong Wang, Lizhu Zhou, George Ka...