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ICDCS
2012
IEEE
13 years 9 months ago
Scaling Down Off-the-Shelf Data Compression: Backwards-Compatible Fine-Grain Mixing
—Pu and Singaravelu presented Fine-Grain Mixing, an adaptive compression system which aimed to maximize CPU and network utilization simultaneously by splitting a network stream i...
Michael Gray, Peter Peterson, Peter L. Reiher
TON
2008
139views more  TON 2008»
15 years 6 months ago
Stochastic learning solution for distributed discrete power control game in wireless data networks
Distributed power control is an important issue in wireless networks. Recently, noncooperative game theory has been applied to investigate interesting solutions to this problem. Th...
Yiping Xing, Rajarathnam Chandramouli
ICMCS
2005
IEEE
78views Multimedia» more  ICMCS 2005»
16 years 4 days ago
Partial Linear Regression for Audio-Driven Talking Head Application
Virtual avatars in many applications are constructed manually or by a single speech-driven model which needs a lot of training data and long training time. It’s an essential pro...
Chao-Kuei Hsieh, Yung-Chang Chen
NIPS
2000
15 years 7 months ago
Gaussianization
We propose a non-linear feature space transformation for speaker/environment adaptation which forces the individual dimensions of the acoustic data for every speaker to be Gaussia...
Scott Saobing Chen, Ramesh A. Gopinath
ALT
2009
Springer
15 years 10 months ago
Learning and Domain Adaptation
Domain adaptation is a fundamental learning problem where one wishes to use labeled data from one or several source domains to learn a hypothesis performing well on a different, y...
Yishay Mansour