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MM
2006
ACM
203views Multimedia» more  MM 2006»
14 years 3 months ago
Learning image manifolds by semantic subspace projection
In many image retrieval applications, the mapping between highlevel semantic concept and low-level features is obtained through a learning process. Traditional approaches often as...
Jie Yu, Qi Tian
MM
2004
ACM
167views Multimedia» more  MM 2004»
14 years 2 months ago
Learning an image manifold for retrieval
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...
Xiaofei He, Wei-Ying Ma, HongJiang Zhang
WWW
2007
ACM
14 years 9 months ago
Learning information intent via observation
Workers in organizations frequently request help from assistants by sending request messages that express information intent: an intention to update data in an information system....
Anthony Tomasic, Isaac Simmons, John Zimmerman
ICS
2005
Tsinghua U.
14 years 2 months ago
What is worth learning from parallel workloads?: a user and session based analysis
Learning useful and predictable features from past workloads and exploiting them well is a major source of improvement in many operating system problems. We review known parallel ...
Julia Zilber, Ofer Amit, David Talby
ICPR
2002
IEEE
14 years 2 months ago
Motion Prediction Using VC-Generalization Bounds
This paper describes a novel application of Statistical Learning Theory (SLT) for motion prediction. SLT provides analytical VC-generalization bounds for model selection; these bo...
Harry Wechsler, Zoran Duric, Fayin Li, Vladimir Ch...