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» The Dark Side of Object Learning: Learning Objects
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CVPR
2012
IEEE
13 years 6 months ago
Batch mode Adaptive Multiple Instance Learning for computer vision tasks
Multiple Instance Learning (MIL) has been widely exploited in many computer vision tasks, such as image retrieval, object tracking and so on. To handle ambiguity of instance label...
Wen Li, Lixin Duan, Ivor Wai-Hung Tsang, Dong Xu
CVPR
2009
IEEE
16 years 11 months ago
Constrained Marginal Space Learning for Efficient 3D Anatomical Structure Detection in Medical Images
Recently, we proposed marginal space learning (MSL) as a generic approach for automatic detection of 3D anatom- ical structures in many medical imaging modalities. To accurately...
Yefeng Zheng, Bogdan Georgescu, Haibin Ling, Shaoh...
WWW
2005
ACM
16 years 5 months ago
Online curriculum on the semantic Web: the CSD-UoC portal for peer-to-peer e-learning
Online Curriculum Portals aim to support networks of instructors and learners by providing a space of convergence for enhancing peer-to-peer learning interactions among individual...
Dimitris Kotzinos, Sofia Pediaditaki, Apostolos Ap...
ICIP
2009
IEEE
16 years 5 months ago
Isocentric Color Saliency In Images
In this paper we propose a novel computational method to infer visual saliency in images. The computational method is based on the idea that salient objects should have local char...
ICRA
2008
IEEE
170views Robotics» more  ICRA 2008»
15 years 11 months ago
Modeling and recognition of actions through motor primitives
— We investigate modeling and recognition of object manipulation actions for the purpose of imitation based learning in robotics. To model the process, we are using a combination...
David Martínez Mercado, Danica Kragic