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NIPS
2003
15 years 6 months ago
Max-Margin Markov Networks
In typical classification tasks, we seek a function which assigns a label to a single object. Kernel-based approaches, such as support vector machines (SVMs), which maximize the ...
Benjamin Taskar, Carlos Guestrin, Daphne Koller
172
Voted
JMLR
2012
13 years 7 months ago
Bayesian regularization of non-homogeneous dynamic Bayesian networks by globally coupling interaction parameters
To relax the homogeneity assumption of classical dynamic Bayesian networks (DBNs), various recent studies have combined DBNs with multiple changepoint processes. The underlying as...
Marco Grzegorczyk, Dirk Husmeier
143
Voted
INFOCOM
2012
IEEE
13 years 7 months ago
Jointly optimal bit loading, channel pairing and power allocation for multi-channel relaying
Abstract—We aim to enhance the end-to-end rate of a general dual-hop relay network with multiple channels and finite modulation formats, by jointly optimizing channel pairing, p...
Mahdi Hajiaghayi, Min Dong, Ben Liang
TOG
2012
206views Communications» more  TOG 2012»
13 years 7 months ago
Beady: interactive beadwork design and construction
We introduce the interactive system “Beady” to assist the design and construction of customized 3D beadwork. The user first creates a polygonal mesh model called the design m...
Yuki Igarashi, Takeo Igarashi, Jun Mitani
CVPR
2012
IEEE
13 years 7 months ago
Boosting algorithms for simultaneous feature extraction and selection
The problem of simultaneous feature extraction and selection, for classifier design, is considered. A new framework is proposed, based on boosting algorithms that can either 1) s...
Mohammad J. Saberian, Nuno Vasconcelos