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» Exploiting multiple classifier types with active learning
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ICML
2005
IEEE
14 years 7 months ago
Recycling data for multi-agent learning
Learning agents can improve performance cooperating with other agents, particularly learning agents forming a committee outperform individual agents. This "ensemble effect&qu...
Santiago Ontañón, Enric Plaza
ECCV
2008
Springer
14 years 8 months ago
Learning Spatial Context: Using Stuff to Find Things
The sliding window approach of detecting rigid objects (such as cars) is predicated on the belief that the object can be identified from the appearance in a small region around the...
Geremy Heitz, Daphne Koller
CVPR
2008
IEEE
14 years 8 months ago
Information-theoretic active scene exploration
Studies support the need for high resolution imagery to identify persons in surveillance videos[13]. However, the use of telephoto lenses sacrifices a wider field of view and ther...
Eric Sommerlade, Ian Reid
WELCOM
2001
Springer
144views ECommerce» more  WELCOM 2001»
13 years 11 months ago
A Multi-criteria Taxonomy of Business Models in Electronic Commerce
Looking at the ongoing evolution in electronic commerce there are more and more business models becoming significant. E-shops, e-auctions or etendering are not the only possibiliti...
Andreas Bartelt, Winfried Lamersdorf
JUCS
2011
107views more  JUCS 2011»
12 years 9 months ago
Realising the Potential of Web 2.0 for Collaborative Learning Using Affordances
: With the emergence of the Web 2.0 phenomena, technology-assisted social networking has become the norm. The potential of social software for collaborative learning purposes is cl...
Andreas U. Kuswara, Debbie Richards