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CIKM
2008
Springer
13 years 9 months ago
Learning a two-stage SVM/CRF sequence classifier
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Guilherme Hoefel, Charles Elkan
CORR
2010
Springer
193views Education» more  CORR 2010»
13 years 5 months ago
A Probabilistic Approach for Learning Folksonomies from Structured Data
Learning structured representations has emerged as an important problem in many domains, including document and Web data mining, bioinformatics, and image analysis. One approach t...
Anon Plangprasopchok, Kristina Lerman, Lise Getoor
MM
2005
ACM
103views Multimedia» more  MM 2005»
14 years 19 days ago
IrisNet: an internet-scale architecture for multimedia sensors
Most current sensor network research explores the use of extremely simple sensors on small devices called motes and focuses on overcoming the resource constraints of these devices...
Jason Campbell, Phillip B. Gibbons, Suman Nath, Pa...
ICIP
2002
IEEE
14 years 8 months ago
Efficient video similarity measurement with video signature
The proliferation of video content on the web makes similarity detection an indispensable tool in web data management, searching, and navigation. In this paper, we propose a numbe...
Sen-Ching S. Cheung, Avideh Zakhor
CIVR
2010
Springer
427views Image Analysis» more  CIVR 2010»
13 years 10 months ago
An efficient method for face retrieval from large video datasets
The human face is one of the most important objects in videos since it provides rich information for spotting certain people of interest, such as government leaders in news video,...
Thao Ngoc Nguyen, Thanh Duc Ngo, Duy-Dinh Le, Shin...