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ICML
2010
IEEE
13 years 10 months ago
Particle Filtered MCMC-MLE with Connections to Contrastive Divergence
Learning undirected graphical models such as Markov random fields is an important machine learning task with applications in many domains. Since it is usually intractable to learn...
Arthur Asuncion, Qiang Liu, Alexander T. Ihler, Pa...
SODA
2007
ACM
127views Algorithms» more  SODA 2007»
13 years 10 months ago
Line-of-sight networks
Random geometric graphs have been one of the fundamental models for reasoning about wireless networks: one places n points at random in a region of the plane (typically a square o...
Alan M. Frieze, Jon M. Kleinberg, R. Ravi, Warren ...
TIT
2010
96views Education» more  TIT 2010»
13 years 3 months ago
Beyond Nyquist: efficient sampling of sparse bandlimited signals
Wideband analog signals push contemporary analog-to-digital conversion systems to their performance limits. In many applications, however, sampling at the Nyquist rate is inefficie...
Joel A. Tropp, Jason N. Laska, Marco F. Duarte, Ju...
GLVLSI
2008
IEEE
129views VLSI» more  GLVLSI 2008»
14 years 3 months ago
Variational capacitance modeling using orthogonal polynomial method
In this paper, we propose a novel statistical capacitance extraction method for interconnects considering process variations. The new method, called statCap, is based on the spect...
Jian Cui, Gengsheng Chen, Ruijing Shen, Sheldon X....
PAMI
2010
202views more  PAMI 2010»
13 years 7 months ago
DAISY: An Efficient Dense Descriptor Applied to Wide-Baseline Stereo
—In this paper, we introduce a local image descriptor, DAISY, which is very efficient to compute densely. We also present an EM-based algorithm to compute dense depth and occlusi...
Engin Tola, Vincent Lepetit, Pascal Fua