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IBPRIA
2007
Springer
15 years 10 months ago
Random Forest for Gene Expression Based Cancer Classification: Overlooked Issues
Random forest is a collection (ensemble) of decision trees. It is a popular ensemble technique in pattern recognition. In this article, we apply random forest for cancer classifica...
Oleg Okun, Helen Priisalu
198
Voted
ICCTA
2007
IEEE
15 years 10 months ago
Chromatogram Image Pre-Processing and Feature Extraction for Automatic Soil Analysis
A circular paper chromatogram is obtained from an alkaline solution of silver nitrate and soil. The shape, size, color and textural patterns of the chromatogram image are hypothes...
Variganti Saritha, Mary Joseph Minu, Sukhendu Das,...
MCS
2010
Springer
15 years 8 months ago
A Multi-Classifier System for Off-Line Signature Verification Based on Dissimilarity Representation
Abstract. Although widely used to reduce error rates of difficult pattern recognition problems, multiple classifier systems are not in widespread use in off-line signature verifica...
Luana Batista, Eric Granger, Robert Sabourin
NIPS
1994
15 years 8 months ago
A Connectionist Technique for Accelerated Textual Input: Letting a Network Do the Typing
Each yearpeoplespendahugeamountoftimetyping. Thetextpeopletype typically contains a tremendousamount of redundancy due to predictable word usage patterns and the text's struc...
Dean Pomerleau
JGAA
2007
135views more  JGAA 2007»
15 years 6 months ago
Challenging Complexity of Maximum Common Subgraph Detection Algorithms: A Performance Analysis of Three Algorithms on a Wide Dat
Graphs are an extremely general and powerful data structure. In pattern recognition and computer vision, graphs are used to represent patterns to be recognized or classified. Det...
Donatello Conte, Pasquale Foggia, Mario Vento