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CVPR
2012
IEEE
13 years 3 days ago
Unsupervised feature learning framework for no-reference image quality assessment
In this paper, we present an efficient general-purpose objective no-reference (NR) image quality assessment (IQA) framework based on unsupervised feature learning. The goal is to...
Peng Ye, Jayant Kumar, Le Kang, David S. Doermann
ALMOB
2006
155views more  ALMOB 2006»
14 years 9 months ago
Refining motifs by improving information content scores using neighborhood profile search
The main goal of the motif finding problem is to detect novel, over-represented unknown signals in a set of sequences (e.g. transcription factor binding sites in a genome). The mo...
Chandan K. Reddy, Yao-Chung Weng, Hsiao-Dong Chian...
86
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BIOINFORMATICS
2004
119views more  BIOINFORMATICS 2004»
14 years 9 months ago
Analysis of variance components in gene expression data
Motivation: A microarray experiment is a multi-step process, and each step is a potential source of variation. There are two major sources of variation: biological variation and t...
James J. Chen, Robert R. Delongchamp, Chen-An Tsai...
142
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BIBM
2010
IEEE
286views Bioinformatics» more  BIBM 2010»
14 years 7 months ago
Evaluation of short read metagenomic assembly
Advances in sequencing technologies have equipped researchers with the ability to sequence the collective genome of entire microbial communities commonly referred to as metagenomi...
Anveshi Charuvaka, Huzefa Rangwala
ICIP
2009
IEEE
15 years 10 months ago
Efficient Poisson Denoising For Photography
In general, image sensor noise is dominated by Poisson statistics, even at high illumination level, yet most standard denoising procedures often assume a simpler additive Gaussian...