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» Image Processing: Principles and Applications
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UAI
2004
13 years 11 months ago
Probabilistic Index Maps for Modeling Natural Signals
One of the major problems in modeling natural signals is that signals with very similar structure may locally have completely different measurements, e.g., images taken under diff...
Nebojsa Jojic, Yaron Caspi, Manuel Reyes-Gomez
BMCBI
2010
181views more  BMCBI 2010»
13 years 10 months ago
Intensity dependent estimation of noise in microarrays improves detection of differentially expressed genes
Background: In many microarray experiments, analysis is severely hindered by a major difficulty: the small number of samples for which expression data has been measured. When one ...
Amit Zeisel, Amnon Amir, Wolfgang J. Köstler,...
CORR
2010
Springer
210views Education» more  CORR 2010»
13 years 10 months ago
Exploiting Statistical Dependencies in Sparse Representations for Signal Recovery
Signal modeling lies at the core of numerous signal and image processing applications. A recent approach that has drawn considerable attention is sparse representation modeling, in...
Tomer Faktor, Yonina C. Eldar, Michael Elad
BMCBI
2006
127views more  BMCBI 2006»
13 years 9 months ago
Improvement in the Reproducibility and Accuracy of DNA Microarray Quantification by Optimizing Hybridization Conditions
Background: DNA microarrays, which have been increasingly used to monitor mRNA transcripts at a global level, can provide detailed insight into cellular processes involved in resp...
Tao Han, Cathy D. Melvin, Leming M. Shi, William S...
BMCBI
2007
141views more  BMCBI 2007»
13 years 9 months ago
A novel approach to detect hot-spots in large-scale multivariate data
Background: Progressive advances in the measurement of complex multifactorial components of biological processes involving both spatial and temporal domains have made it difficult...
Jianhua Wu, Keith M. Kendrick, Jianfeng Feng