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» Unsupervised Learning of Models for Recognition
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SAC
2006
ACM
15 years 3 months ago
Combining supervised and unsupervised monitoring for fault detection in distributed computing systems
Fast and accurate fault detection is becoming an essential component of management software for mission critical systems. A good fault detector makes possible to initiate repair a...
Haifeng Chen, Guofei Jiang, Cristian Ungureanu, Ke...
132
Voted
ICIP
2010
IEEE
15 years 1 months ago
Compact visual codebook for action recognition
Visual codebook has been popular in object classification as well as action analysis. However, its performance is often sensitive to the codebook size that is usually predefined. ...
Qingdi Wei, Xiaoqin Zhang, Yu Kong, Weiming Hu, Ha...
132
Voted
TOIS
2010
128views more  TOIS 2010»
15 years 1 months ago
Learning author-topic models from text corpora
We propose a new unsupervised learning technique for extracting information about authors and topics from large text collections. We model documents as if they were generated by a...
Michal Rosen-Zvi, Chaitanya Chemudugunta, Thomas L...
MCS
2010
Springer
15 years 10 months ago
Estimation of the Number of Clusters Using Multiple Clustering Validity Indices
One of the challenges in unsupervised machine learning is finding the number of clusters in a dataset. Clustering Validity Indices (CVI) are popular tools used to address this pro...
Krzysztof Kryszczuk, Paul Hurley
CVPR
2003
IEEE
16 years 5 months ago
A Bayesian Framework for Fusing Multiple Word Knowledge Models in Videotext Recognition
Videotext recognition is challenging due to low resolution, diverse fonts/styles, and cluttered background. Past methods enhanced recognition by using multiple frame averaging, im...
DongQing Zhang, Shih-Fu Chang