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» Learning a Hidden Subgraph
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WWW
2004
ACM
14 years 8 months ago
Dealing with different distributions in learning from
In the problem of learning with positive and unlabeled examples, existing research all assumes that positive examples P and the hidden positive examples in the unlabeled set U are...
Xiaoli Li, Bing Liu
ICML
2009
IEEE
14 years 2 months ago
Supervised learning from multiple experts: whom to trust when everyone lies a bit
We describe a probabilistic approach for supervised learning when we have multiple experts/annotators providing (possibly noisy) labels but no absolute gold standard. The proposed...
Vikas C. Raykar, Shipeng Yu, Linda H. Zhao, Anna K...
PERCOM
2003
ACM
14 years 24 days ago
Recognition of Human Activity through Hierarchical Stochastic Learning
Seeking to extend the functional capability of the elderly, we explore the use of probabilistic methods to learn and recognise human activity in order to provide monitoring suppor...
Sebastian Lühr, Hung Hai Bui, Svetha Venkates...
SODA
2010
ACM
175views Algorithms» more  SODA 2010»
14 years 4 months ago
Optimally Reconstructing Weighted Graphs Using Queries
d Abstract) Hanna Mazzawi Technion - Israel Institute of Technology In this paper, we consider the problem of reconstructing a hidden graph with m edges using additive queries. Gi...
Hanna Mazzawi
ICPR
2010
IEEE
13 years 5 months ago
Learning Scene Semantics Using Fiedler Embedding
We propose a framework to learn scene semantics from surveillance videos. Using the learnt scene semantics, a video analyst can efficiently and effectively retrieve the hidden sem...
Jingen Liu, Saad Ali