Integrating visual words as bunch of n-grams for effective biomedical image classification Glauco V. Pedrosa1 , Md Mahmudur Rahman2 , Sameer K. Antani2 , Dina Demner-Fushman2 , L. Rodney Long2 , Agma J. M. Traina1 1 Univ

Source URL: lhncbc.nlm.nih.gov

• Science
• Linguistics
• N-gram
• Natural language processing
• Speech recognition
• Feature
• Language model
• Scale-invariant feature transform
• Artificial intelligence
• Image processing
• Computer vision

Progress in International Reading Literacy Study International Data Explorer Help Guide

Source URL: nces.ed.gov

• Feature selection
• Model selection
• Scale
• Methodology
• Sociology
• Science
• Market research
• Psychometrics
• Dimension reduction

FEATURE STORIES___ 08 Home is where the heart is ___14 The worth of water: questions of food security melbourne university magazine JUNE 2011

Source URL: www.unimelb.edu.au

• Academia
• University of Melbourne
• Melbourne Model
• Melbourne
• RMIT University
• Victoria University
• Australia
• University of Melbourne Faculty of Medicine
• Dentistry and Health Sciences
• Association of Commonwealth Universities
• Education in Australia
• Education

CREDITS FEATURE FILM: The Polar Express (2003) Rick Carter / Tonny Fanning / CAD Set Design for Alicia Maccarone / CGI Sets

Source URL: www.kesigndesign.com

• Computer-aided design
• The Walt Disney Company
• DreamWorks
• Paramount Pictures
• Universal Studios
• Walt Disney Pictures
• Model maker
• Walt Disney
• Star Trek
• Film
• Entertainment
• Star Trek films

Department of Statistics University of Wisconsin, Madison Technical Report 989 March 3, 1998 (revised October 21, 2008) CRUISE User Manual

Source URL: www.stat.wisc.edu

• Model selection
• Data analysis
• Statistical inference
• Linear discriminant analysis
• Decision tree learning
• Feature selection
• Cross-validation
• Pruning
• Missing data
• Statistics
• Machine learning
• Decision trees

III JIPE A BAYESIAN FEATURE ALLOCATION MODEL FOR TUMOR HETEROGENEITY Peter Mueller,1

Source URL: jornada.pucp.edu.pe

• Probability and statistics
• Statistical models
• Bayesian networks
• Bayesian statistics
• Statistics
• Prior probability

Consistent Product Line Configuration Across File Type and Product Line Boundaries? Christoph Elsner1 , Peter Ulbrich2 , Daniel Lohmann2 , Wolfgang Schr¨oder-Preikschat2 1

Source URL: www4.cs.fau.de

• Eclipse
• Software development
• Metamodeling
• Scientific modeling
• Software design
• Feature model
• ISO 10303
• Domain-specific language
• Generic Eclipse Modeling System
• Software
• Computing
• Unified Modeling Language

Vision Research[removed] – 2400 A model of attention-guided visual perception and recognition I.A. Rybak a,*, V.I. Gusakova b, A.V. Golovan c, L.N. Podladchikova b, N.A. Shevtsova d a

Source URL: neurobio.drexelmed.edu

• Mind
• Visual system
• Sensory system
• Eye
• Fixation
• Retina
• Feature detection
• Fovea centralis
• Receptive field
• Anatomy
• Nervous system
• Vision

Using Co-occurrence and Segmentation to Learn Feature-based Object Models from Video Thomas Stepleton Robotics Institute Carnegie Mellon University [removed]

Source URL: www.cnbc.cmu.edu

• Imaging
• Optics
• Segmentation
• Object recognition
• Data mining
• Market segmentation
• Scale-invariant feature transform
• Bag of words model in computer vision
• Image processing
• Computer vision
• Vision

Mefford, Hughes, Dossey, Reynolds, Sexton Mt Lawn winners Brandon Mefford of Spiceland led the final 11 laps of the Van Hoy Oil Late Model feature to pick up his second win of the season. David Clark of Muncie led the fi

Source URL: www.mtlawn.com