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» Learning to Recognize Objects
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155
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TIP
2008
86views more  TIP 2008»
15 years 4 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
15 years 2 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 ...
109
Voted
ICALT
2005
IEEE
15 years 10 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
174
Voted
GECCO
2010
Springer
232views Optimization» more  GECCO 2010»
15 years 5 months ago
Genetic algorithms for automatic classification of moving objects
This paper presents an integrated approach, combining a state-of-the-art commercial object detection system and genetic algorithms (GA)-based learning for automatic object classif...
Omid David-Tabibi, Nathan S. Netanyahu, Yoav Rosen...
140
Voted
CVPR
2010
IEEE
15 years 4 months ago
High performance object detection by collaborative learning of Joint Ranking of Granules features
Object detection remains an important but challenging task in computer vision. We present a method that combines high accuracy with high efficiency. We adopt simplified forms of...
Chang Huang, Ramakant Nevatia