649 MT The 3dsvm plugin for AFNI now enables support vector machine-based real-time fMRI Jonathan Lisinski1, Ziad Saad2, Richard Reynolds2, Jason White4 and Stephen LaConte1,3 2

Source URL: www.lacontelab.org

IEEE AASP Challenge on Detection and Classification of Acoustic Scenes and Events SOUND SCENE IDENTIFICATION BASED ON MFCC, BINAURAL FEATURES AND A SUPPORT VECTOR MACHINE CLASSIFIER Waldo Nogueira, Gerard Roma and Perfe

Source URL: c4dm.eecs.qmul.ac.uk

Document Image Classification and Labeling using Multiple Instance Learning Jayant Kumar Jaishanker Pillai David Doermann Institute of Advanced Computer Studies University of Maryland College Park, USA {jayant, jsp, doer

Source URL: www.umiacs.umd.edu

• Machine learning
• Artificial intelligence
• Learning
• Cognition
• Multiple-instance learning
• Multiple instance learning
• Support vector machine
• Document classification
• Statistical classification
• Supervised learning
• Image segmentation

European Conference on Computer Vision (ECCV), 2012 V1-Inspired Features Induce a Weighted Margin in SVMs Hilton Bristow1,2 and Simon Lucey2 2

Source URL: ci2cv.net

• Algebra
• Mathematics
• Linear filters
• Linear algebra
• Image processing
• Signal processing
• Numerical linear algebra
• Support vector machine
• Gabor filter
• Filter bank
• Filter
• Edge detection

PyMVPA: A Python toolbox for multivariate pattern analysis of fMRI data Michael Hanke∗1,2 , Yaroslav O. Halchenko4,5 , Per B. Sederberg7,8 , Stephen Jos´e Hanson4,6 , James V. Haxby9,10 , and Stefan Pollmann1,2,3

Source URL: haxbylab.dartmouth.edu

• Artificial intelligence
• Machine learning
• Statistical classification
• Learning
• Ensemble learning
• Functional magnetic resonance imaging
• Boosting
• Support vector machine
• Pattern recognition
• K-nearest neighbors algorithm
• Multi-label classification
• Binning

On the Intrusiveness of JavaScript on the Web Muhammad Ikram Hassan Asghar NICTA and UNSW, Australia

Source URL: conferences2.sigcomm.org

• Software engineering
• Statistical classification
• Computing
• Computer programming
• Machine learning
• Internet privacy
• Support vector machine
• Privacy
• JavaScript
• Supervised learning
• One-class classification

Automatic Gloss Finding for a Knowledge Base using Ontological Constraints Bhavana Dalvi Einat Minkov

Source URL: talukdar.net

• Computing
• Computational linguistics
• Natural language processing
• Linguistics
• Open data
• Information science
• Semantic Web
• DBpedia
• Java platform
• Named-entity recognition
• Support vector machine
• Freebase

The Rebirth of Neural Networks Olivier Temam INRIA Saclay 1 I got requests for a recorded version of the keynote. Rather than a recorded version, I thought that a version with some of the key points of each

Source URL: pages.saclay.inria.fr

• Artificial neural networks
• Applied mathematics
• Statistics
• Probability and statistics
• Multilayer perceptron
• Perceptron
• Support vector machine
• Machine learning
• Artificial neuron
• Statistical classification

Write a Classifier: Zero-Shot Learning Using Purely Textual Descriptions Mohamed Elhoseiny Babak Saleh Ahmed Elgammal Department of Computer Science, Rutgers University, New Brunswick, NJ [m.elhoseiny,babaks,elgammal]@cs

Source URL: paul.rutgers.edu

• Statistical classification
• Artificial intelligence
• Learning
• Machine learning
• Cognition
• One-shot learning
• Linear classifier
• Support vector machine
• Classifier
• Multi-label classification

Support Vector Machine Concept-Dependent Active Learning for Image Retrieval Edward Y. Chang VIMA Technologies 120 Cremona Drive Santa Barbara, CA 93117

Source URL: www.robotics.stanford.edu