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» A cycle accurate power estimation tool
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ISQED
2009
IEEE
124views Hardware» more  ISQED 2009»
15 years 6 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»
15 years 1 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»
14 years 11 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»
14 years 11 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
16 years 1 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