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» A maximum entropy approach to OFDM channel estimation
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NIPS
2000
13 years 9 months ago
Kernel Expansions with Unlabeled Examples
Modern classification applications necessitate supplementing the few available labeled examples with unlabeled examples to improve classification performance. We present a new tra...
Martin Szummer, Tommi Jaakkola
JMLR
2010
173views more  JMLR 2010»
13 years 2 months ago
Collaborative Filtering via Rating Concentration
While most popular collaborative filtering methods use low-rank matrix factorization and parametric density assumptions, this article proposes an approach based on distribution-fr...
Bert Huang, Tony Jebara
ISCA
2009
IEEE
186views Hardware» more  ISCA 2009»
14 years 2 months ago
Application-aware deadlock-free oblivious routing
Conventional oblivious routing algorithms are either not application-aware or assume that each flow has its own private channel to ensure deadlock avoidance. We present a framewo...
Michel A. Kinsy, Myong Hyon Cho, Tina Wen, G. Edwa...
DCC
2006
IEEE
14 years 7 months ago
Joint Source-Channel Decoding of Multiple Description Quantized Markov Sequences
This paper proposes a framework for joint source-channel decoding of Markov sequences that are coded by a fixed-rate multiple description quantizer (MDQ), and transmitted via a lo...
Xiaolin Wu, Xiaohan Wang
ICML
2006
IEEE
14 years 8 months ago
Nonstationary kernel combination
The power and popularity of kernel methods stem in part from their ability to handle diverse forms of structured inputs, including vectors, graphs and strings. Recently, several m...
Darrin P. Lewis, Tony Jebara, William Stafford Nob...