A Rich Feature Vector for Protein-Protein Interaction Extraction from Multiple Corpora Makoto Miwa1 Rune Sætre1 Yusuke Miyao1 Jun’ichi Tsujii1,2,3 1 Department of Computer Science, the University of Tokyo, Japan Hongo

Source URL: www.aclweb.org

Feature-Based Vector Simulation of Water Waves Qizhi Yu, Fabrice Neyret, Anthony Steed To cite this version: Qizhi Yu, Fabrice Neyret, Anthony Steed. Feature-Based Vector Simulation of Water Waves. Computer Animation and

Source URL: hal.inria.fr

– the FoM for “rock” appears to have become very poor now. • Combining all feature dimensions from acoustic information below 20 Hz and above 4186 Hz. – (Rock recovers partly) 3.3MUSIC FilteringCONTENT

Source URL: wp.nyu.edu

• Algebra
• Physics
• Statistics
• Linear algebra
• Multivariate statistics
• Statistical classification
• Support vector machine
• Machine learning
• Euclidean vector
• Principal component analysis
• Light scattering
• Scattering

The Intervalgram: An Audio Feature for Large-scale Melody Recognition Thomas C. Walters, David A. Ross, and Richard F. Lyon Google, 1600 Amphitheatre Parkway, Mountain View, CA, 94043, USA

Source URL: www.cs.toronto.edu

• Algebra
• Academia
• Information science
• Music information retrieval
• Timefrequency analysis
• Chroma feature
• Music technology
• Musicology
• Chroma
• Euclidean vector
• Vector
• Sound

ABOUT MANUSCRIPTS FOR IJ ITA

Source URL: foibg.com

• Statistics
• Statistical classification
• Learning
• Machine learning
• Support vector machine
• Data mining
• Polynomial kernel
• Feature selection
• Linear separability
• Receiver operating characteristic
• Linear discriminant analysis
• Least squares support vector machine

Feature Selection and Classification on Matrix Data: From Large Margins To Small Covering Numbers Sepp Hochreiter and Klaus Obermayer Department of Electrical Engineering and Computer Science

Source URL: www.bioinf.jku.at

• Algebra
• Mathematics
• Statistical classification
• Support vector machine
• Valuation
• Basis
• Constructible universe
• Isotope lists
• 73-96
• Approximately finite-dimensional C*-algebra

Raster-Vector Conversion Methods for Automated Cartography With Applications in Polygon Maps and Feature Analysis Shin-yi Hsu Department of Geography SUNY-Binghamton Binghamton, NY 13901

Source URL: mapcontext.com

• Geographic information systems
• Graphics file formats
• Cartography
• Computer graphics
• Euclidean plane geometry
• Polygon
• Raster graphics
• Raster data
• Image segmentation
• Map
• Geometry
• Computing

FEATURE: INTRODUCED SPECIES The Bait Industry as a Potential Vector for Alien Crayfish Introductions: Problem Recognition by Fisheries Agencies and a Missouri Evaluation Jim Rathert, Missouri Department of Conservation

Source URL: www.mostreamteam.org

• Cambaridae
• Fishing
• Biota
• Fauna of the United States
• Orconectes
• Rusty crayfish
• Crayfish
• Fishing bait
• Procambarus clarkii
• Bait fish
• Procambarus
• Angling

XU AND MORDOHAI: EXPRESSION RECOGNITION USING BAGS OF MOTION WORDS 1 Automatic Facial Expression Recognition using Bags of Motion Words

Source URL: www.cs.stevens.edu

• Computer vision
• Artificial intelligence
• Statistical classification
• Information science
• Feature detection
• Machine learning
• Image search
• Bag-of-words model in computer vision
• Support vector machine
• Optical flow
• Feature
• Visual Word

Classification, Regression, and Feature Selection on Matrix Data Sepp Hochreiter and Klaus Obermayer Department of Electrical Engineering and Computer Science Technische Universit¨at BerlinBerlin, Germany

Source URL: www.bioinf.jku.at

• Algebra
• Mathematics
• Linear algebra
• Abstract algebra
• Matrices
• Statistical classification
• Machine learning
• Support vector machine
• Matrix
• Test set
• Kernel method
• Kernel