Sciweavers

890 search results - page 41 / 178
» Large Scale Online Learning
Sort
View
110
Voted
FGR
2008
IEEE
231views Biometrics» more  FGR 2008»
15 years 8 months ago
Personalized facial attractiveness prediction
We present an approach to learning the personal preferences of individual users directly from example images. The target application is computer assisted search of partners in onl...
Jacob Whitehill, Javier R. Movellan
WWW
2010
ACM
15 years 9 months ago
A pattern tree-based approach to learning URL normalization rules
Duplicate URLs have brought serious troubles to the whole pipeline of a search engine, from crawling, indexing, to result serving. URL normalization is to transform duplicate URLs...
Tao Lei, Rui Cai, Jiang-Ming Yang, Yan Ke, Xiaodon...
CVPR
2012
IEEE
13 years 4 months ago
Batch mode Adaptive Multiple Instance Learning for computer vision tasks
Multiple Instance Learning (MIL) has been widely exploited in many computer vision tasks, such as image retrieval, object tracking and so on. To handle ambiguity of instance label...
Wen Li, Lixin Duan, Ivor Wai-Hung Tsang, Dong Xu
CEAS
2007
Springer
15 years 6 months ago
Online Active Learning Methods for Fast Label-Efficient Spam Filtering
Active learning methods seek to reduce the number of labeled examples needed to train an effective classifier, and have natural appeal in spam filtering applications where trustwo...
D. Sculley
JMLR
2010
130views more  JMLR 2010»
14 years 8 months ago
MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA is designed to deal...
Albert Bifet, Geoff Holmes, Bernhard Pfahringer, P...