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» Learning and prediction of slip from visual information
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Publication
313views
13 years 8 months ago
Visual Surveillance: Dynamic Behavior Analysis at Multiple Levels
New cameras are installed daily all around the world. Hence it becomes increasingly important to develop methods for reducing the manual effort that is still required for video ana...
Michael D. Breitenstein
WACV
2008
IEEE
14 years 2 months ago
Likelihood Map Fusion for Visual Object Tracking
Visual object tracking can be considered as a figure-ground classification task. In this paper, different features are used to generate a set of likelihood maps for each pixel i...
Zhaozheng Yin, Fatih Porikli, Robert T. Collins
BMCBI
2007
116views more  BMCBI 2007»
13 years 7 months ago
Clustering protein environments for function prediction: finding PROSITE motifs in 3D
Background: Structural genomics initiatives are producing increasing numbers of threedimensional (3D) structures for which there is little functional information. Structure-based ...
Sungroh Yoon, Jessica C. Ebert, Eui-Young Chung, G...
FUIN
2006
107views more  FUIN 2006»
13 years 7 months ago
Learning Sunspot Classification
Sunspots are the subject of interest to many astronomers and solar physicists. Sunspot observation, analysis and classification form an important part of furthering the knowledge a...
Trung Thanh Nguyen, Claire P. Willis, Derek J. Pad...
AROBOTS
2008
158views more  AROBOTS 2008»
13 years 8 months ago
Learning traversability models for autonomous mobile vehicles
Autonomous mobile robots need to adapt their behavior to the terrain over which they drive, and to predict the traversability of the terrain so that they can effectively plan thei...
Michael Shneier, Tommy Chang, Tsai Hong, William P...