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» Approximate Expectation Maximization
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JMLR
2010
118views more  JMLR 2010»
14 years 10 months ago
Gaussian processes with monotonicity information
A method for using monotonicity information in multivariate Gaussian process regression and classification is proposed. Monotonicity information is introduced with virtual derivat...
Jaakko Riihimäki, Aki Vehtari
CVPR
2000
IEEE
16 years 5 months ago
Towards Automatic Discovery of Object Categories
We propose a method to learn heterogeneous models of object classes for visual recognition. The training images contain a preponderance of clutter and learning is unsupervised. Ou...
Markus Weber, Max Welling, Pietro Perona
CVPR
2001
IEEE
16 years 5 months ago
Learning Flexible Sprites in Video Layers
See a PPT file with videos at www.research.microsoft.com/users/jojic/FlexiblesSprites.htm We propose a technique for automatically learning layers of "flexible sprites" ...
Nebojsa Jojic, Brendan J. Frey
104
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DCC
2007
IEEE
16 years 2 months ago
Transmission Over Slowly Fading Channels Using Unreliable Quantized Feedback
We study the problem of maximizing the expected rate over a slowly fading channel with quantized channel state information at the transmitter (CSIT). This problem has been recentl...
Siavash Ekbatani, Farzad Etemadi, Hamid Jafarkhani
INFOCOM
2009
IEEE
15 years 10 months ago
Throughput of Slotted ALOHA with Encoding Rate Optimization and Multipacket Reception
—This paper considers a slotted ALOHA random access system where users send packets to a common receiver with multipacket reception capability. A collection of m users access the...
Paolo Minero, Massimo Franceschetti