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» Comparing Approaches to Implement Feature Model Composition
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NIPS
2001
14 years 4 days ago
Bayesian time series classification
This paper proposes an approach to classification of adjacent segments of a time series as being either of classes. We use a hierarchical model that consists of a feature extract...
Peter Sykacek, Stephen J. Roberts
AIEDU
2007
103views more  AIEDU 2007»
13 years 11 months ago
Student Models that Invite the Learner In: The SMILI: () Open Learner Modelling Framework
In recent years, the learner models of some adaptive learning environments have been opened to the learners they represent. However, as yet there is no standard way of describing a...
Susan Bull, Judy Kay
AUSAI
2008
Springer
14 years 23 days ago
Character Recognition Using Hierarchical Vector Quantization and Temporal Pooling
In recent years, there has been a cross-fertilization of ideas between computational neuroscience models of the operation of the neocortex and artificial intelligence models of mac...
John Thornton, Jolon Faichney, Michael Blumenstein...
ICCV
2009
IEEE
1042views Computer Vision» more  ICCV 2009»
15 years 3 months ago
Activity Recognition using the velocity histories of tracked keypoints
We present an activity recognition feature inspired by human psychophysical performance. This feature is based on the velocity history of tracked keypoints. We present a generat...
Ross Messing, Chris Pal, Henry Kautz
MM
2010
ACM
169views Multimedia» more  MM 2010»
13 years 11 months ago
CO3 for ultra-fast and accurate interactive segmentation
This paper presents an interactive image segmentation framework which is ultra-fast and accurate. Our framework, termed "CO3", consists of three components: COupled repr...
Yibiao Zhao, Song Chun Zhu, Siwei Luo