Feature Extraction with Description Logics Functional Subsumption Rodrigo de Salvo Braz Dan Roth

Source URL: clopinet.com

A study of the NIPS feature selection challenge Nicholas Johnson November 29, 2009 Abstract The 2003 Nips Feature extraction challenge was dominated by Bayesian approaches developed by the team of Radford Neal and Jiangu

Source URL: statweb.stanford.edu

• Ensemble learning
• Neural networks
• Regression analysis
• Computational neuroscience
• Early stopping
• Boosting
• Overfitting
• Statistical classification
• Logistic regression
• Machine learning
• Statistics
• Learning

AUTOMATIC ROAD EXTRACTION FROM AERIAL IMAGES BY PROBABILISTIC CONTOUR TRACKING Munuele Bicegot ‘.Silvio Dalfni’, Gianni Vernuzzu’, and Mttorio Murino’

Source URL: profs.sci.univr.it

• Hough transform
• Segmentation
• Feature extraction
• Geographic information system
• Statistics
• Computer vision
• Image processing
• Artificial intelligence

Distributed Journaling of Distributed Media Viktor S. Wold Eide, Frank Eliassen, Ole-Christoffer Granmo and Olav Lysne ∗ Department of Informatics University of Oslo Gaustadalléen 23

Source URL: www.nik.no

• Thought
• Component-based software engineering
• Algorithm
• Feature extraction
• Distributed computing
• Mind
• Science
• Software engineering
• Analysis
• Critical thinking

CLASSIFICATION OF MOVEMENT EEG WITH LOCAL DISCRIMINANT BASES Nuri Firat Ince, Ahmed Tewfik*, Sami Arica Department of Electrical and Electronics Engineering, University of Cukurova Department of Electrical Engineering, U

Source URL: www.dtc.umn.edu

• Brain–computer interface
• Linear discriminant analysis
• Principal component analysis
• Feature extraction
• Segmentation
• Dimension reduction
• Statistics
• Multivariate statistics
• Electroencephalography

JOURNAL OF NETWORKS, VOL. 9, NO. 12, DECEMBER[removed]A Hybrid Classifier Using Reduced Signatures for Automated Soft-Failure Diagnosis in

Source URL: titania.ctie.monash.edu.au

• Principal component analysis
• Feature extraction
• Dimension reduction
• Linear discriminant analysis
• Eigenvalues and eigenvectors
• Scatter matrix
• Mahalanobis distance
• Statistics
• Multivariate statistics
• Algebra

Content Extraction Using Diverse Feature Sets Matthew E. Peters Dan Lecocq SEOmoz

Source URL: www2013.org

• HTML
• Technical communication
• Google Chrome
• Information retrieval
• Algorithm
• Span and div
• Web page
• Software
• Computing
• Natural language processing

Discovery of Human-Competitive Image Texture Feature Extraction Programs Using Genetic Programming Brian Lam1 and Vic Ciesielski1 School of Computer Science and Information Technology RMIT University

Source URL: www.genetic-programming.org

• Artificial intelligence
• Image texture
• Robert Haralick
• Co-occurrence matrix
• Texture mapping
• Pattern recognition
• Feature
• Science
• Segmentation
• Computer vision
• Image processing
• Vision

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, Short Papers DECEMBER 2008

Source URL: www.lv-nus.org

• Machine learning
• Computational statistics
• Statistical classification
• Kernel methods
• Linear discriminant analysis
• Nonlinear dimensionality reduction
• Semidefinite embedding
• Feature extraction
• Principal component analysis
• Statistics
• Multivariate statistics
• Dimension reduction

Information Extraction of Multiple Categories from Pathology Reports David Martinez Yue Li NICTA VRL NICTA VRL Melbourne, Australia

Source URL: www.alta.asn.au

• Naive Bayes classifier
• Support vector machine
• Multiclass classification
• Feature selection
• Classifier
• SNOMED CT
• Statistics
• Statistical classification
• AdaBoost