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» Learning Models for Object Recognition
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PAMI
2008
250views more  PAMI 2008»
15 years 1 months ago
Combined Top-Down/Bottom-Up Segmentation
We construct an image segmentation scheme that combines top-down (TD) with bottom-up (BU) processing. In the proposed scheme, segmentation and recognition are intertwined rather th...
Eran Borenstein, Shimon Ullman
CVPR
2011
IEEE
14 years 5 months ago
How does Person Identity Recognition Help Multi-Person Tracking?
We address the problem of multi-person tracking in a complex scene from a single camera. Although trackletassociation methods have shown impressive results in several challenging ...
Cheng-Hao Kuo, Ram Nevatia
IJCNN
2007
IEEE
15 years 8 months ago
Incorporating Forgetting in a Category Learning Model
— We present a computational model of human category learning that learns the essential structures of the categories by forgetting information that is not useful for the given ta...
Yasuaki Sakamoto, Toshihiko Matsuka
ICRA
2009
IEEE
174views Robotics» more  ICRA 2009»
15 years 8 months ago
Environment adapted active multi-focal vision system for object detection
— A biologically inspired foveated attention system in an object detection scenario is proposed. Thereby, a highperformance active multi-focal camera system imitates visual behav...
Tingting Xu, Hao Wu, Tianguang Zhang, Kolja Kü...
AVBPA
2005
Springer
255views Biometrics» more  AVBPA 2005»
15 years 7 months ago
Towards Scalable View-Invariant Gait Recognition: Multilinear Analysis for Gait
Abstract. In this paper we introduce a novel approach for learning view-invariant gait representation that does not require synthesizing particular views or any camera calibration....
Chan-Su Lee, Ahmed M. Elgammal