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AAAI
2008
15 years 5 months ago
Active Learning for Pipeline Models
For many machine learning solutions to complex applications, there are significant performance advantages to decomposing the overall task into several simpler sequential stages, c...
Dan Roth, Kevin Small
ACL
2008
15 years 4 months ago
Inferring Activity Time in News through Event Modeling
Many applications in NLP, such as questionanswering and summarization, either require or would greatly benefit from the knowledge of when an event occurred. Creating an effective ...
Vladimir Eidelman
IPMI
1999
Springer
16 years 4 months ago
A Unified Framework for Atlas Matching Using Active Appearance Models
1 We propose to use statistical models of shape and texture as deformable anatomical atlases. By training on sets of labelled examples these can represent both the mean structure a...
Timothy F. Cootes, C. Beeston, Gareth J. Edwards, ...
ICML
2005
IEEE
16 years 4 months ago
Active learning for Hidden Markov Models: objective functions and algorithms
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
Brigham Anderson, Andrew Moore
JIPS
2010
176views more  JIPS 2010»
14 years 10 months ago
Recognition of Human Facial Expression in a Video Image using the Active Appearance Model
Tracking human facial expression within a video image has many useful applications, such as surveillance and teleconferencing, etc. Initially, the Active Appearance Model (AAM) was...
Gyeong-Sic Jo, Yong-Guk Kim