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BMCBI
2007
157views more  BMCBI 2007»
15 years 4 months ago
Constructing gene co-expression networks and predicting functions of unknown genes by random matrix theory
Background: Large-scale sequencing of entire genomes has ushered in a new age in biology. One of the next grand challenges is to dissect the cellular networks consisting of many i...
Feng Luo, Yunfeng Yang, Jianxin Zhong, Haichun Gao...
FOCS
2004
IEEE
15 years 8 months ago
Shuffling by Semi-Random Transpositions
In the cyclic-to-random shuffle, we are given n cards arranged in a circle. At step k, we exchange the k'th card along the circle with a uniformly chosen random card. The pro...
Elchanan Mossel, Yuval Peres, Alistair Sinclair
ECCV
2008
Springer
16 years 6 months ago
Sparse Long-Range Random Field and Its Application to Image Denoising
Many recent techniques for low-level vision problems such as image denoising are formulated in terms of Markov random field (MRF) or conditional random field (CRF) models. Nonethel...
Yunpeng Li, Daniel P. Huttenlocher
ISCAS
2006
IEEE
90views Hardware» more  ISCAS 2006»
15 years 10 months ago
Phase measurement and adjustment of digital signals using random sampling technique
—This paper introduces a technique to measure and adjust the relative phase of on-chip high speed digital signals using a random sampling technique of inferential statistics. The...
Rashed Zafar Bhatti, Monty Denneau, Jeff Draper
MIA
2010
170views more  MIA 2010»
14 years 11 months ago
Linear intensity-based image registration by Markov random fields and discrete optimization
We propose a framework for intensity-based registration of images by linear transformations, based on a discrete Markov Random Field (MRF) formulation. Here, the challenge arises ...
Darko Zikic, Ben Glocker, Oliver Kutter, Martin Gr...