A Hierarchical Neural Autoencoder for Paragraphs and Documents Jiwei Li, Minh-Thang Luong and Dan Jurafsky Computer Science Department, Stanford University, Stanford, CA 94305, USA jiweil, lmthang,

Source URL: web.stanford.edu

• Computational linguistics
• Natural language processing
• Artificial neural networks
• Computational neuroscience
• Speech recognition
• Deep learning
• Long short-term memory
• Automatic summarization
• Sepp Hochreiter
• Parsing
• Feature learning
• N-gram

Feature: Imagining Competency Education CompetencyWorks.org has pulled together a great list of schools who are successfully implementing competency-based learning, along with resources that you can use! share: facebook

Source URL: www.nmefoundation.org

• Social networking services
• Free software
• Higher education
• Massive open online course
• Online education
• Facebook
• Twitter
• Educational technology
• Personalization
• Competence
• Competency-based learning
• Achievement gap in the United States

Visual Classification of Coarse Vehicle Orientation using Histogram of Oriented Gradients Features Paul E. Rybski and Daniel Huber and Daniel D. Morris and Regis Hoffman Abstract— For an autonomous vehicle, detecting a

Source URL: www.ri.cmu.edu

• Machine learning
• Parts of speech
• Feature detection
• Histogram of oriented gradients
• Classifier
• Lidar
• Statistical classification
• Pattern recognition
• Caltech 101
• ViolaJones object detection framework
• Chinese classifier

Supervised Learning of Edges and Object Boundaries Piotr Doll´ar Zhuowen Tu Serge Belongie

Source URL: pages.ucsd.edu

• Feature detection
• Ensemble learning
• Machine learning
• Image segmentation
• Canny edge detector
• Supervised learning
• Edge detection
• Boosting
• AdaBoost
• Conditional random field
• Outline of object recognition
• Cascading classifiers

Feature: 5 Videos To Move You Towards Student-Centered, 21st Century Teaching These five inspirational videos explore some tough challenges in our current education system and how we can go about solving them. share: fac

Source URL: www.nmefoundation.org

• Social networking services
• Pedagogy
• Educational practices
• Educational psychology
• Facebook
• Social information processing
• Personalized learning
• Twitter

The 20th International Conference on Auditory Display (ICADJune 22-25, 2014, New York, USA Skin Pattern Sonification Using NMF-based Visual Feature Extraction and Learning-based PMSon

Source URL: mat.ucsb.edu

• Multimodal interaction
• Display technology
• Cognitive science
• Sonification
• Cognition
• Neuroscience
• User interface techniques
• Auditory display
• Sensory systems
• Non-negative matrix factorization
• Pattern recognition
• Perception

An Analysis of Single-Layer Networks in Unsupervised Feature Learning Adam Coates Stanford University Computer Science Dept.

Source URL: ai.stanford.edu

• Machine learning
• Statistics
• Artificial intelligence
• Learning
• Feature learning
• Deep learning
• K-means clustering
• Pattern recognition
• Supervised learning
• Statistical classification
• Artificial neural network
• Cluster analysis

Extending Neuro-evolutionary Preference Learning through Player Modeling H´ector P. Mart´ınez, Kenneth Hullett, and Georgios N. Yannakakis, Member, IEEE Abstract—In this paper we propose a methodology for improving

Source URL: game.itu.dk

• Artificial neural networks
• Dimension reduction
• Computational neuroscience
• Computational statistics
• Georgios N. Yannakakis
• Affective computing
• Machine learning
• Preference learning
• Competitive learning
• Artificial intelligence
• Self-organizing map
• Feature selection

Off-Policy Learning Combined with Automatic Feature Expansion for Solving Large MDPs Alborz Geramifard Christoph Dann

Source URL: fam-dann.de

Learning Convolutional Feature Hierarchies for Visual Recognition Koray Kavukcuoglu1 , Pierre Sermanet1 , Y-Lan Boureau2,1 , Karol Gregor1 , Micha¨el Mathieu1 , Yann LeCun1 1

Source URL: koray.kavukcuoglu.org