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» The Dark Side of Object Learning: Learning Objects
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TIP
2008
86views more  TIP 2008»
13 years 7 months ago
Learning the Dynamics and Time-Recursive Boundary Detection of Deformable Objects
We propose a principled framework for recursively segmenting deformable objects across a sequence of frames. We demonstrate the usefulness of this method on left ventricular segmen...
Walter Sun, Müjdat Çetin, Raymond C. C...
ICCV
2009
IEEE
13 years 5 months ago
Group-sensitive multiple kernel learning for object categorization
In this paper, we propose a group-sensitive multiple kernel learning (GS-MKL) method to accommodate the intra-class diversity and the inter-class correlation for object categoriza...
Jingjing Yang, Yuanning Li, YongHong Tian, Lingyu ...
IROS
2009
IEEE
198views Robotics» more  IROS 2009»
14 years 2 months ago
Scalable learning for object detection with GPU hardware
Abstract— We consider the problem of robotic object detection of such objects as mugs, cups, and staplers in indoor environments. While object detection has made significant pro...
Adam Coates, Paul Baumstarck, Quoc V. Le, Andrew Y...
CVPR
2004
IEEE
14 years 9 months ago
Learning Methods for Generic Object Recognition with Invariance to Pose and Lighting
We assess the applicability of several popular learning methods for the problem of recognizing generic visual categories with invariance to pose, lighting, and surrounding clutter...
Fu Jie Huang, Léon Bottou, Yann LeCun
ICALT
2005
IEEE
14 years 1 months ago
Creating Reusable WebQuest Objects with WebQuest Authoring Engine
WebQuest is a constructivist lesson format for webenabled inquiry-based learning. A WebQuest exists in form of a Web site that contains a collection of Web pages. In this paper, w...
Yuen-Yan Chan