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BMCBI
2007
178views more  BMCBI 2007»
14 years 10 months ago
SVM clustering
Background: Support Vector Machines (SVMs) provide a powerful method for classification (supervised learning). Use of SVMs for clustering (unsupervised learning) is now being cons...
Stephen Winters-Hilt, Sam Merat
ICIP
2003
IEEE
15 years 11 months ago
An entropy based segmentation algorithm for computer-generated document images
This paper presents an efficient compression-oriented segmentation algorithm for computer-generated document images. In this algorithm, a document image is represented in a block-...
Lijie Liu, Yan Dong, Xiaomu Song, Guoliang Fan
83
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ISBI
2006
IEEE
15 years 11 months ago
Segmenting a beating heart using polysegment and Spatial GPCA
Given a volume of cardiac MR images, we consider the problem of segmenting the heart based on intensity and dynamics. We first segment the heart and the chest from the background ...
Avinash Ravichandran, René Vidal, Henry Hal...
BMCBI
2011
14 years 5 months ago
Shape-based peak identification for ChIP-Seq
Background: The identification of binding targets for proteins using ChIP-Seq has gained popularity as an alternative to ChIP-chip. Sequencing can, in principle, eliminate artifac...
Valerie Hower, Steven N. Evans, Lior Pachter
82
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CORR
2007
Springer
140views Education» more  CORR 2007»
14 years 10 months ago
From the entropy to the statistical structure of spike trains
— We use statistical estimates of the entropy rate of spike train data in order to make inferences about the underlying structure of the spike train itself. We first examine a n...
Yun Gao, Ioannis Kontoyiannis, Elie Bienenstock