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» Method of Motion Data Processing Based on Manifold Learning
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ECCV
2006
Springer
16 years 4 months ago
Weakly Supervised Learning of Part-Based Spatial Models for Visual Object Recognition
Abstract. In this paper we investigate a new method of learning partbased models for visual object recognition, from training data that only provides information about class member...
David J. Crandall, Daniel P. Huttenlocher
115
Voted
ICIP
2005
IEEE
16 years 4 months ago
Scene analysis for reducing motion JPEG 2000 video surveillance delivery bandwidth and complexity
In this paper, we propose a new object-based video coding/transmission system using the emerging Motion JPEG 2000 standard [1] for the efficient storage and delivery of video surve...
Christophe Parisot, Jérôme Meessen, J...
146
Voted
RSS
2007
152views Robotics» more  RSS 2007»
15 years 4 months ago
Dimensionality Reduction Using Automatic Supervision for Vision-Based Terrain Learning
Abstract— This paper considers the problem of learning to recognize different terrains from color imagery in a fully automatic fashion, using the robot’s mechanical sensors as ...
Anelia Angelova, Larry Matthies, Daniel M. Helmick...
155
Voted
CIKM
2008
Springer
15 years 4 months ago
Learning latent semantic relations from clickthrough data for query suggestion
For a given query raised by a specific user, the Query Suggestion technique aims to recommend relevant queries which potentially suit the information needs of that user. Due to th...
Hao Ma, Haixuan Yang, Irwin King, Michael R. Lyu
134
Voted
ECML
2006
Springer
15 years 6 months ago
Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....
Corneliu Henegar, Karine Clément, Jean-Dani...