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» Approximate Expectation Maximization
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JMLR
2010
118views more  JMLR 2010»
15 years 1 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 8 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 8 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
DCC
2007
IEEE
16 years 6 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
16 years 1 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