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» A Framework for Multiple-Instance Learning
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CVPR
2010
IEEE
16 years 8 days ago
Learning from Interpolated Images using Neural Networks for Digital Forensics
Interpolated images have data redundancy, and special correlation exists among neighboring pixels, which is a crucial clue in digital forensics. We design a neural network based f...
Yizhen Huang, Na Fan
CEC
2009
IEEE
15 years 10 months ago
Learning area coverage for a self-sufficient colony robot
— It is advantageous for colony robots to be autonomous and self-sufficient. This requires them to perform their duties while maintaining enough energy to operate. Previously, we...
Gary B. Parker, Richard Zbeda
PKDD
2009
Springer
144views Data Mining» more  PKDD 2009»
15 years 10 months ago
Compositional Models for Reinforcement Learning
Abstract. Innovations such as optimistic exploration, function approximation, and hierarchical decomposition have helped scale reinforcement learning to more complex environments, ...
Nicholas K. Jong, Peter Stone
ICIP
2007
IEEE
15 years 10 months ago
Incorporating Primal Sketch Based Learning Into Low Bit-Rate Image Compression
This paper proposes an image compression approach, in which we incorporate primal sketch based learning into the mainstream image compression framework. The key idea of our approa...
Yang Li, Xiaoyan Sun, Hongkai Xiong, Feng Wu
ECTEL
2007
Springer
15 years 10 months ago
CAMEL: Taking the Technology Enhanced Learning Journey without Reinventing the Wheel
Projects involving technology are notoriously dogged with difficulties and a number of lessons can be learned. Rather than detail examples from particular TEL projects, the author ...
Gill Ferrell