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INFOCOM
2012
IEEE
13 years 10 months ago
Quality-assured cloud bandwidth auto-scaling for video-on-demand applications
—There has been a recent trend that video-on-demand (VoD) providers such as Netflix are leveraging resources from cloud services for multimedia streaming. In this paper, we cons...
Di Niu, Hong Xu, Baochun Li, Shuqiao Zhao
CVPR
2010
IEEE
16 years 3 months ago
Efficient Piecewise Learning for Conditional Random Fields
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
Karteek Alahari, Phil Torr
ICASSP
2009
IEEE
16 years 2 months ago
Using collective information in semi-supervised learning for speech recognition
Training accurate acoustic models typically requires a large amount of transcribed data, which can be expensive to obtain. In this paper, we describe a novel semi-supervised learn...
Balakrishnan Varadarajan, Dong Yu, Li Deng, Alex A...
CVPR
2010
IEEE
16 years 1 months ago
Multi-Target Tracking by On-Line Learned Discriminative Appearance Models
We present an approach for online learning of discriminative appearance models for robust multi-target tracking in a crowded scene from a single camera. Although much progress has...
Cheng-Hao Kuo, Chang Huang, Ram Nevatia
LPKR
1997
Springer
15 years 11 months ago
A System for Abductive Learning of Logic Programs
We present the system LAP (Learning Abductive Programs) that is able to learn abductive logic programs from examples and from a background abductive theory. A new type of induction...
Evelina Lamma, Paola Mello, Michela Milano, Fabriz...