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69
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DATE
1998
IEEE
82views Hardware» more  DATE 1998»
15 years 2 months ago
Exploiting Symbolic Techniques for Partial Scan Flip Flop Selection
Partial Scan techniques have been widely accepted as an effective solution to improve sequential ATPG performance while keeping acceptable area and performance overheads. Several ...
Fulvio Corno, Paolo Prinetto, Matteo Sonza Reorda,...
KDD
2004
ACM
166views Data Mining» more  KDD 2004»
15 years 10 months ago
Predicting prostate cancer recurrence via maximizing the concordance index
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
Lian Yan, David Verbel, Olivier Saidi
184
Voted
SIGMOD
2008
ACM
157views Database» more  SIGMOD 2008»
15 years 10 months ago
CRD: fast co-clustering on large datasets utilizing sampling-based matrix decomposition
The problem of simultaneously clustering columns and rows (coclustering) arises in important applications, such as text data mining, microarray analysis, and recommendation system...
Feng Pan, Xiang Zhang, Wei Wang 0010
74
Voted
ICASSP
2009
IEEE
15 years 2 months ago
A fast feature extraction method
A fast subspace analysis and feature extraction algorithm is proposed which is based on fast Haar transform and integral vector. In rapid object detection and conventional binary ...
Jing Pan, Yanwei Pang, Xuelong Li, Yuan Yuan, Dach...
LCTRTS
2009
Springer
15 years 5 months ago
A compiler optimization to reduce soft errors in register files
Register file (RF) is extremely vulnerable to soft errors, and traditional redundancy based schemes to protect the RF are prohibitive not only because RF is often in the timing c...
Jongeun Lee, Aviral Shrivastava