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» A General Model for Multiple View Unsupervised Learning
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NIPS
2008
13 years 10 months ago
Structured ranking learning using cumulative distribution networks
Ranking is at the heart of many information retrieval applications. Unlike standard regression or classification in which we predict outputs independently, in ranking we are inter...
Jim C. Huang, Brendan J. Frey
ICML
2002
IEEE
14 years 9 months ago
Learning to Share Distributed Probabilistic Beliefs
In this paper, we present a general machine learning approach to the problem of deciding when to share probabilistic beliefs between agents for distributed monitoring. Our approac...
Christopher Leckie, Kotagiri Ramamohanarao
MM
2005
ACM
150views Multimedia» more  MM 2005»
14 years 2 months ago
Reading SCORM compliant multimedia courses using heterogeneous pervasive devices
The Sharable Content Object Reference Model (SCORM) provides some important representation for distance learning content and the learning behavior. In general, SCORM-Compliant lea...
Te-Hua Wang, Hsuan-Pu Chang, Yun-Long Sie, Kun-Han...
MIR
2005
ACM
140views Multimedia» more  MIR 2005»
14 years 2 months ago
Multiple random walk and its application in content-based image retrieval
In this paper, we propose a transductive learning method for content-based image retrieval: Multiple Random Walk (MRW). Its basic idea is to construct two generative models by mea...
Jingrui He, Hanghang Tong, Mingjing Li, Wei-Ying M...
EPIA
2009
Springer
14 years 27 days ago
Semantic Image Search and Subset Selection for Classifier Training in Object Recognition
Abstract. Robots need to ground their external vocabulary and internal symbols in observations of the world. In recent works, this problem has been approached through combinations ...
Rui Pereira, Luís Seabra Lopes, Augusto Sil...