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» Symbolic Test Selection Based on Approximate Analysis
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DATE
1998
IEEE
82views Hardware» more  DATE 1998»
13 years 11 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,...
ML
2008
ACM
248views Machine Learning» more  ML 2008»
13 years 7 months ago
Feature selection via sensitivity analysis of SVM probabilistic outputs
Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...
Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Einar ...
IJCAI
1989
13 years 8 months ago
An Approximate Solver for Symbolic Equations
This paper describes a program, called NEWTON, that finds approximate symbolic solutions to parameterized equations in one variable. N E W T O N derives an initial approximation b...
Elisha Sacks
TCOM
2008
130views more  TCOM 2008»
13 years 7 months ago
Quasi-orthogonal STBC with minimum decoding complexity: performance analysis, optimal signal transformations, and antenna select
This letter presents a new method to directly analyze and optimize symbol error rate (SER) performance of minimum decoding complexity (MDC) ABBA space-time block codes based on a t...
Dung Ngoc Dao, Chintha Tellambura
ICDAR
2007
IEEE
14 years 1 months ago
Camera-Based Graphical Symbol Detection
In this paper we present a method to locate and recognize graphical symbols appearing in real images. A vectorial signature is defined to describe graphical symbols. It is formul...
Marçal Rusiñol, Josep Lladós,...