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GECCO
2009
Springer
188views Optimization» more  GECCO 2009»
14 years 1 months ago
Exploiting multiple classifier types with active learning
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
Zhenyu Lu, Josh Bongard
SIGECOM
2009
ACM
137views ECommerce» more  SIGECOM 2009»
14 years 4 months ago
An exact almost optimal algorithm for target set selection in social networks
The Target Set Selection problem proposed by Kempe, Kleinberg, and Tardos, gives a nice clean combinatorial formulation for many problems arising in economy, sociology, and medicin...
Oren Ben-Zwi, Danny Hermelin, Daniel Lokshtanov, I...
PR
2010
160views more  PR 2010»
13 years 8 months ago
Homeomorphic alignment of weighted trees
Motion capture, a currently active research area, needs estimation of the pose of the subject. For this purpose, we match the tree representation of the skeleton of the 3D shape t...
Benjamin Raynal, Michel Couprie, Venceslas Biri
JUCS
2008
147views more  JUCS 2008»
13 years 9 months ago
Authoring Courses with Rich Adaptive Sequencing for IMS Learning Design
: This paper describes the process of translating an adaptive sequencing strategy designed using Sequencing Graphs to the semantics of IMS Learning Design. The relevance of this co...
Sergio Gutiérrez Santos, Abelardo Pardo, Ca...
ICPR
2008
IEEE
14 years 11 months ago
An adaptive scene description for activity analysis in surveillance video
This paper presents an adaptive framework for live video analysis. The activities of surveillance subjects are described using a spatio-temporal vocabulary learned from recurrent ...
Brendan Morris, Mohan M. Trivedi