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» Learning with dynamic group sparsity
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ECAL
1999
Springer
14 years 2 months ago
Collective Learning and Semiotic Dynamics
We report on a case study in the emergence of a lexicon in a group of autonomous distributed agents situated and grounded in an open environment. Because the agents are autonomous,...
Luc Steels, Frédéric Kaplan
CORR
2010
Springer
275views Education» more  CORR 2010»
13 years 10 months ago
Dictionary Optimization for Block-Sparse Representations
Recent work has demonstrated that using a carefully designed dictionary instead of a predefined one, can improve the sparsity in jointly representing a class of signals. This has m...
Kevin Rosenblum, Lihi Zelnik-Manor, Yonina C. Elda...
ICML
2010
IEEE
13 years 11 months ago
Boosting Classifiers with Tightened L0-Relaxation Penalties
We propose a novel boosting algorithm which improves on current algorithms for weighted voting classification by striking a better balance between classification accuracy and the ...
Noam Goldberg, Jonathan Eckstein
HICSS
2007
IEEE
55views Biometrics» more  HICSS 2007»
14 years 4 months ago
Trajectories in Multiple Group Coordination: A Field Study of Hospital Operating Suites
Hospital surgery environments are dynamic and high risk. They require coordination across multiple groups whose incentives, cultures, and routines can conflict. In this paper, we ...
Yuqing Ren, Sara B. Kiesler, Susan R. Fussell, Pet...
GRAPHICSINTERFACE
2011
13 years 1 months ago
Formation sketching: an approach to stylize groups in crowd simulation
Most of existing crowd simulation algorithms focus on the moving trajectories of individual agents, while collective group formations are often roughly learned from video examples...
Qin Gu, Zhigang Deng