P-CNN: Pose-based CNN Features for Action Recognition Guilhem Ch´eron∗ † Ivan Laptev∗ Cordelia Schmid†

Source URL: www.normalesup.org

• Computer vision
• Computational neuroscience
• Convolutional neural network
• Conference on Computer Vision and Pattern Recognition
• Visual descriptor
• Optical flow
• Pose
• Motion estimation
• Artificial intelligence
• Artificial neural network

Data of the people by the people for the people Marcel Salathé, EPFL @marcelsalathe

Source URL: opendata.ch

• Computational neuroscience
• Artificial intelligence
• Cybernetics
• Ai
• Artificial general intelligence

Guide to the Smithsonian Speech Synthesis History Project NMAH.AC.0417 by Wendy Shay 2007

Source URL: sirismm.si.edu

• Speech synthesis
• Computational linguistics
• Assistive technology
• Artificial intelligence applications
• Speech recognition
• Votrax
• Smithsonian Institution
• Haskins Laboratories
• Box
• IBM
• Telesensory Systems

CALL FOR PAPERS International Journal of Computational Intelligence Systems An international journal on co mputational intelligence research, develop ments and applications www.atlantis-press.com/publications/ijcis

Source URL: www.atlantis-press.com

• Artificial intelligence
• Computational intelligence
• Formal sciences
• Computational science
• Computational linguistics

Using NEAT for Continuous Adaptation and Teamwork Formation in Pacman Mark Wittkamp, Luigi Barone, Member, IEEE, and Philip Hingston, Senior Member, IEEE Abstract— Despite games often being used as a testbed for new co

Source URL: www.csse.uwa.edu.au

• Computational neuroscience
• Pac-Man
• Z80
• Arch Linux
• Ghost
• Escape
• Score
• Artificial neural network
• Artificial intelligence

IEEE Symposium on Computational Intelligence and Games Perth, Australia, 15-18 December 2008 http://www.csse.uwa.edu.au/cig08/ Games have proven to be an ideal domain for the study of computational intelligence as not on

Source URL: www.csse.uwa.edu.au

Segment-Phrase Table for Semantic Segmentation, Visual Entailment and Paraphrasing Hamid Izadinia† Fereshteh Sadeghi† Santosh K. Divvala‡,† Hannaneh Hajishirzi† Yejin Choi† †

Source URL: ai2-website.s3.amazonaws.com

• Computational linguistics
• Image segmentation
• Conference on Computer Vision and Pattern Recognition
• Semantic similarity
• Artificial intelligence
• Market segmentation
• Deep learning
• Natural language processing
• Computational science
• Science and technology

Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies Yangqing Jia1 , Joshua Abbott2 , Joseph Austerweil3 , Thomas Griffiths2 , Trevor Darrell1 1 UC Berkeley EECS 2 Dept of

Source URL: cocosci.berkeley.edu

• Statistics
• Artificial intelligence
• Machine learning
• Cognition
• Computational neuroscience
• Concept learning
• Learning theory
• ImageNet
• Artificial neural network
• Supervised learning
• Support vector machine
• Probability distribution

Automated Parameter Optimization of Classification Techniques for Defect Prediction Models Chakkrit Tantithamthavorn1 , Shane McIntosh2 , Ahmed E. Hassan3 , Kenichi Matsumoto1 1 Nara Institute of Science and

Source URL: sail.cs.queensu.ca

• Statistics
• Machine learning
• Statistical classification
• Artificial intelligence
• Ensemble learning
• Statistical inference
• Computational statistics
• Support vector machine
• Bootstrapping
• Boosting
• Naive Bayes classifier
• Gradient boosting

Story Representation in Analogy-Based Story Generation in Riu Jichen Zhu and Santiago Onta˜no´ n Abstract— Computational analogy offers a promising direction to algorithmically generating stories, a key challenge in

Source URL: game.itu.dk

• Semantics
• Cognitive science
• Cognition
• Artificial intelligence
• Science
• Arts
• Cognitive psychology
• Computational creativity
• Analogy
• Structure mapping engine
• Analogical models
• Fluid Concepts and Creative Analogies