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» The Dark Side of Object Learning: Learning Objects
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139
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CVPR
2006
IEEE
16 years 5 months ago
Escaping local minima through hierarchical model selection: Automatic object discovery, segmentation, and tracking in video
Recently, the generative modeling approach to video segmentation has been gaining popularity in the computer vision community. For example, the flexible sprites framework has been...
Nebojsa Jojic, John M. Winn, Larry Zitnick
ACMSE
2009
ACM
15 years 6 months ago
Using computer graphics to explore object oriented concepts using C
Most recent graphics courses are what we would call topdown courses. Courses that focus on using graphical packages to implement and teach graphics. The course discussed in this p...
William C. Kreahling
ECOOP
2011
Springer
14 years 3 months ago
Frequency Estimation of Virtual Call Targets for Object-Oriented Programs
Abstract. The information of execution frequencies of virtual call targets is valuable for program analyses and optimizations of object-oriented programs. However, to obtain this i...
Cheng Zhang, Hao Xu, Sai Zhang, Jianjun Zhao, Yuti...
120
Voted
IROS
2007
IEEE
128views Robotics» more  IROS 2007»
15 years 9 months ago
Exploiting similarities for robot perception
— A cognitive robot system has to acquire and efficiently store vast knowledge about the world it operates in. To cope with every day tasks, a robot needs to learn, classify and...
Kai Welke, Erhan Oztop, Gordon Cheng, Rüdiger...
ICML
2007
IEEE
16 years 4 months ago
Experimental perspectives on learning from imbalanced data
We present a comprehensive suite of experimentation on the subject of learning from imbalanced data. When classes are imbalanced, many learning algorithms can suffer from the pers...
Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napol...