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WWW
2003
ACM
16 years 7 months ago
Mining topic-specific concepts and definitions on the web
Traditionally, when one wants to learn about a particular topic, one reads a book or a survey paper. With the rapid expansion of the Web, learning in-depth knowledge about a topic...
Bing Liu, Chee Wee Chin, Hwee Tou Ng
200
Voted
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
16 years 7 months ago
Probabilistic author-topic models for information discovery
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...
ICCV
2009
IEEE
1184views Computer Vision» more  ICCV 2009»
16 years 11 months ago
Learning Based Digital Matting
We cast some new insights into solving the digital matting problem by treating it as a semi-supervised learning task in machine learning. A local learning based approach and a g...
Yuanjie Zheng, Chandra Kambhamettu
CVPR
2003
IEEE
16 years 8 months ago
Bootstrapping SVM Active Learning by Incorporating Unlabelled Images for Image Retrieval
The performance of image retrieval with SVM active learning is known to be poor when started with few labelled images only. In this paper, the problem is solved by incorporating t...
Lei Wang, Kap Luk Chan, Zhihua Zhang
ICPR
2008
IEEE
16 years 8 months ago
A discrete-time parallel update algorithm for distributed learning
We present a distributed machine learning framework based on support vector machines that allows classification problems to be solved iteratively through parallel update algorithm...
Christian Bauckhage, Tansu Alpcan