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ISQED
2006
IEEE
124views Hardware» more  ISQED 2006»
14 years 22 days ago
DFM Metrics for Standard Cells
Design for Manufacturability (DFM) is becoming increasingly important as process geometries shrink. Conventional design rule pass/fail is not adequate to quantify DFM compliance. ...
Robert C. Aitken
BMCBI
2008
107views more  BMCBI 2008»
13 years 6 months ago
A machine learning approach to explore the spectra intensity pattern of peptides using tandem mass spectrometry data
Background: A better understanding of the mechanisms involved in gas-phase fragmentation of peptides is essential for the development of more reliable algorithms for high-throughp...
Cong Zhou, Lucas D. Bowler, Jianfeng Feng
TSMC
2008
198views more  TSMC 2008»
13 years 6 months ago
Representation Plurality and Fusion for 3-D Face Recognition
In this paper, we present an extensive study of 3-D face recognition algorithms and examine the benefits of various score-, rank-, and decision-level fusion rules. We investigate f...
Berk Gökberk, Helin Dutagaci, A. Ulas, Lale A...
AI
2005
Springer
14 years 8 days ago
A Supervised Learning Approach to Acronym Identification
This paper addresses the task of finding acronym-definition pairs in text. Most of the previous work on the topic is about systems that involve manually generated rules or regular ...
David Nadeau, Peter D. Turney
BMCBI
2002
195views more  BMCBI 2002»
13 years 6 months ago
Clustering of the SOM easily reveals distinct gene expression patterns: results of a reanalysis of lymphoma study
Background: A method to evaluate and analyze the massive data generated by series of microarray experiments is of utmost importance to reveal the hidden patterns of gene expressio...
Junbai Wang, Jan Delabie, Hans Christian Aasheim, ...