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MOBISYS
2010
ACM
15 years 4 days ago
Darwin phones: the evolution of sensing and inference on mobile phones
We present Darwin, an enabling technology for mobile phone sensing that combines collaborative sensing and classification techniques to reason about human behavior and context on ...
Emiliano Miluzzo, Cory Cornelius, Ashwin Ramaswamy...
ICASSP
2009
IEEE
15 years 4 months ago
Fingerprint matching based on distance metric learning
This paper considers a method for learning a distance metric in a fingerprinting system which identifies a query content by measuring the distance between the fingerprint of th...
Dalwon Jang, Chang D. Yoo
PCM
2010
Springer
204views Multimedia» more  PCM 2010»
14 years 8 months ago
Learning Contextual Metrics for Automatic Image Annotation
Abstract. The semantic contextual information is shown to be an important resource for improving the scene and image recognition, but is seldom explored in the literature of previo...
Zuotao Liu, Xiangdong Zhou, Yu Xiang, Yan-Tao Zhen...
ICML
2009
IEEE
15 years 10 months ago
Learning non-redundant codebooks for classifying complex objects
Codebook-based representations are widely employed in the classification of complex objects such as images and documents. Most previous codebook-based methods construct a single c...
Wei Zhang, Akshat Surve, Xiaoli Fern, Thomas G. Di...
70
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ICDAR
2003
IEEE
15 years 3 months ago
Mirror Image Learning for Autoassociative Neural Networks
This paper studies on the mirror image learning algorithm for the autoassociative neural networks and evaluates the performance by handwritten numeral recognition test. Each of th...
Shusaku Shimizu, Wataru Ohyama, Tetsushi Wakabayas...