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» Learning semantic object parts for object categorization
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MM
2003
ACM
239views Multimedia» more  MM 2003»
15 years 9 months ago
Foreground object detection from videos containing complex background
This paper proposes a novel method for detection and segmentation of foreground objects from a video which contains both stationary and moving background objects and undergoes bot...
Liyuan Li, Weimin Huang, Irene Y. H. Gu, Qi Tian
ICIP
2003
IEEE
16 years 5 months ago
Annotating retrieval database with active learning
In this paper, we describe a retrieval system that uses hidden annotation to improve the performance. The contribution of this paper is a novel active learning framework that can ...
Cha Zhang, Tsuhan Chen
PERCOM
2005
ACM
16 years 3 months ago
Re-Conceptualizing Learning Environments: A Framework for Pervasive eLearning
Pervasive eLearning requires a novel media perspective on learning objects. Instead of viewing handhelds or smart phones as minimized PCs we would like to propose a perspective on...
Reinhard Keil-Slawik, Thorsten Hampel, Bernd E&szl...
COGSCI
2010
85views more  COGSCI 2010»
15 years 4 months ago
The Effects of Feature-Label-Order and Their Implications for Symbolic Learning
Symbols enable people to organize and communicate about the world. However, the ways in which symbolic knowledge is learned and then represented in the mind are poorly understood....
Michael Ramscar, Daniel Yarlett, Melody Dye, Katie...
ICRA
2005
IEEE
138views Robotics» more  ICRA 2005»
15 years 9 months ago
Urban Object Recognition from Informative Local Features
Abstract— Autonomous mobile agents require object recognition for high level interpretation and localization in complex scenes. In urban environments, recognition of buildings mi...
Gerald Fritz, Christin Seifert, Lucas Paletta