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» Learning Models for Object Recognition
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CVPR
2010
IEEE
15 years 8 months ago
Towards Semantic Embedding in Visual Vocabulary
Visual vocabulary serves as a fundamental component in many computer vision tasks, such as object recognition, visual search, and scene modeling. While state-of-the-art approaches...
R.-R. Ji, Hongxun Yao, Xiaoshuai Sun
UAI
2004
15 years 4 months ago
Factored Latent Analysis for far-field Tracking Data
This paper uses Factored Latent Analysis (FLA) to learn a factorized, segmental representation for observations of tracked objects over time. Factored Latent Analysis is latent cl...
Chris Stauffer
ECCV
2008
Springer
16 years 5 months ago
Unsupervised Learning of Skeletons from Motion
Abstract. Humans demonstrate a remarkable ability to parse complicated motion sequences into their constituent structures and motions. We investigate this problem, attempting to le...
David A. Ross, Daniel Tarlow, Richard S. Zemel
IEEECIT
2006
IEEE
15 years 9 months ago
ACGs: Adaptive Course Generation System - An Efficient Approach to Build E-Learning Course
Recently, adaptive course generation has been focusing by several researchers. We have built ACGs system to create adaptive courses for each learner based on evaluating demand, ab...
Anh Nguyen Viet, Dam Ho Si
AAAI
2008
15 years 5 months ago
Efficient Learning of Action Schemas and Web-Service Descriptions
This work addresses the problem of efficiently learning action schemas using a bounded number of samples (interactions with the environment). We consider schemas in two languages-...
Thomas J. Walsh, Michael L. Littman