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VIP
2003
14 years 11 months ago
Using Dual Cascading Learning Frameworks for Image Indexing
To bridge the semantic gap in content-based image retrieval, detecting meaningful visual entities (e.g. faces, sky, foliage, buildings etc) in image content and classifying images...
Joo-Hwee Lim, Jesse S. Jin
ATAL
2010
Springer
14 years 11 months ago
Evolving policy geometry for scalable multiagent learning
A major challenge for traditional approaches to multiagent learning is to train teams that easily scale to include additional agents. The problem is that such approaches typically...
David B. D'Ambrosio, Joel Lehman, Sebastian Risi, ...
SIGCSE
2008
ACM
192views Education» more  SIGCSE 2008»
14 years 10 months ago
Enhancing learning management systems to better support computer science education
Many individual instructors--and, in some cases, entire universities--are gravitating towards the use of comprehensive learning management systems (LMSs), such as Blackboard and M...
Guido Rößling, Mike Joy, Andrés ...
SIGIR
2008
ACM
14 years 10 months ago
Learning to reduce the semantic gap in web image retrieval and annotation
We study in this paper the problem of bridging the semantic gap between low-level image features and high-level semantic concepts, which is the key hindrance in content-based imag...
Changhu Wang, Lei Zhang 0001, Hong-Jiang Zhang
MIR
2010
ACM
207views Multimedia» more  MIR 2010»
14 years 8 months ago
Learning to rank for content-based image retrieval
In Content-based Image Retrieval (CBIR), accurately ranking the returned images is of paramount importance, since users consider mostly the topmost results. The typical ranking st...
Fabio F. Faria, Adriano Veloso, Humberto Mossri de...