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UAI
2004
13 years 6 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 5 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 5 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
PAMI
2007
194views more  PAMI 2007»
13 years 5 months ago
Robust Object Tracking Via Online Dynamic Spatial Bias Appearance Models
This paper presents a robust object tracking method via a spatial bias appearance model learned dynamically in video. Motivated by the attention shifting among local regions of a ...
Datong Chen, Jie Yang
VLSID
2007
IEEE
210views VLSI» more  VLSID 2007»
14 years 5 months ago
Dynamically Optimizing FPGA Applications by Monitoring Temperature and Workloads
In the past, Field Programmable Gate Array (FPGA) circuits only contained a limited amount of logic and operated at a low frequency. Few applications running on FPGAs consumed exc...
Phillip H. Jones, Young H. Cho, John W. Lockwood