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ICGI
1998
Springer
15 years 7 months ago
Learning k-Variable Pattern Languages Efficiently Stochastically Finite on Average from Positive Data
Abstract. The present paper presents a new approach of how to convert Gold-style [4] learning in the limit into stochastically finite learning with high confidence. We illustrate t...
Peter Rossmanith, Thomas Zeugmann
ET
2002
77views more  ET 2002»
15 years 2 months ago
Reusing Scan Chains for Test Pattern Decompression
The paper presents a method for testing a system-on-achip by using a compressed representation of the patterns on an external tester. The patterns for a certain core under test ar...
Rainer Dorsch, Hans-Joachim Wunderlich
IGARSS
2010
15 years 25 days ago
Using Gradient Pattern Analysis for land use and land cover change detection
In this work, the computational operation based on Gradient Pattern Analysis - GPA was applied for the first time in MODIS spatial-temporal images over the Amazon region. The stud...
Ramon Morais de Freitas, Reinaldo R. Rosa, Yosio E...
FEGC
2009
86views Biometrics» more  FEGC 2009»
15 years 21 days ago
Binary Sequences and Association Graphs for Fast Detection of Sequential Patterns
We develop an efficient algorithm for detecting frequent patterns that occur in sequence databases under certain constraints. By combining the use of bit vector representations of ...
Selim Mimaroglu, Dan A. Simovici
BMCBI
2005
103views more  BMCBI 2005»
15 years 2 months ago
Quadratic regression analysis for gene discovery and pattern recognition for non-cyclic short time-course microarray experiments
Background: Cluster analyses are used to analyze microarray time-course data for gene discovery and pattern recognition. However, in general, these methods do not take advantage o...
Hua Liu, Sergey Tarima, Aaron S. Borders, Thomas V...