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KDD
2008
ACM
172views Data Mining» more  KDD 2008»
16 years 7 months ago
Structured metric learning for high dimensional problems
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
Jason V. Davis, Inderjit S. Dhillon
ICML
2003
IEEE
16 years 7 months ago
Transductive Learning via Spectral Graph Partitioning
We present a new method for transductive learning, which can be seen as a transductive version of the k nearest-neighbor classifier. Unlike for many other transductive learning me...
Thorsten Joachims
ICML
2000
IEEE
16 years 7 months ago
Hierarchical Unsupervised Learning
We consider the problem of unsupervised classification of temporal sequences of facial expressions in video. This problem arises in the design of an adaptive visual agent, which m...
Shivakumar Vaithyanathan, Byron Dom
ICALT
2006
IEEE
16 years 23 days ago
AWELS: Adaptive Web-Based Education and Learning Styles
Can learning styles (LS) be applied in current webbased systems? What are the main issues when applying LS in web-based systems? Can LS be authored in current web-based systems? W...
Alexandra I. Cristea, Natalia Stash
CIVR
2005
Springer
123views Image Analysis» more  CIVR 2005»
16 years 7 days ago
Region-Based Image Clustering and Retrieval Using Multiple Instance Learning
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. We propose an approach based on One-Class Support ...
Chengcui Zhang, Xin Chen