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» A cycle accurate power estimation tool
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ISQED
2009
IEEE
124views Hardware» more  ISQED 2009»
14 years 2 months ago
Revisiting the linear programming framework for leakage power vs. performance optimization
— This paper revisits and extends a general linear programming(LP) formulation to exploit multiple knobs such as multi-Lgate footprint-compatible libraries and post-layout Lgateb...
Kwangok Jeong, Andrew B. Kahng, Hailong Yao
ASAP
2007
IEEE
118views Hardware» more  ASAP 2007»
13 years 9 months ago
Evaluation of a Tightly Coupled ASIP / Co-Processor Architecture Used in GNSS Receivers
This paper presents the enhancement of an ASIP’s floating point performance by coupling of a co-processor and adding of special instructions. Processor hardware modifications an...
Götz Kappen, S. el Bahri, O. Priebe, Tobias G...
BMCBI
2010
181views more  BMCBI 2010»
13 years 7 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,...
JMLR
2006
135views more  JMLR 2006»
13 years 7 months ago
Quantile Regression Forests
Random forests were introduced as a machine learning tool in Breiman (2001) and have since proven to be very popular and powerful for high-dimensional regression and classificatio...
Nicolai Meinshausen
ECCV
2008
Springer
14 years 9 months ago
A Comparative Analysis of RANSAC Techniques Leading to Adaptive Real-Time Random Sample Consensus
The Random Sample Consensus (RANSAC) algorithm is a popular tool for robust estimation problems in computer vision, primarily due to its ability to tolerate a tremendous fraction o...
Rahul Raguram, Jan-Michael Frahm, Marc Pollefeys