Multi-Stage Contextual Deep Learning for Pedestrian Detection Xingyu Zeng Wanli Ouyang Xiaogang Wang Department of Electronic Engineering, The Chinese University of Hong Kong Shatin, New Territories, Hong Kong

Source URL: www.ee.cuhk.edu.hk

• Artificial intelligence
• Learning
• Parts of speech
• Linear classifier
• Support vector machine
• Supervised learning
• Classifier
• Ensemble learning
• Statistics
• Machine learning
• Statistical classification

Deep Learning Face Representation from Predicting 10,000 Classes Yi Sun1 1 Xiaogang Wang2

Source URL: mmlab.ie.cuhk.edu.hk

• Econometrics
• Network architecture
• Networks
• Neural network
• Recall
• Feature
• Science
• Neuroscience
• Mind
• Computational neuroscience
• Computer vision

Learning Technology thru Technology: Using Tech Directions to Teach Technical Writing and Motivate Your Students By Steven J. Raile

Source URL: techdirections.com

• Staten Island Technical High School
• Technology
• Computing
• Electronic engineering
• Cisco Systems
• Deep packet inspection
• Videotelephony

2010 SUMMER IDLEWILD ENVIRONMENTAL SCIENCE LEARNING CENTER WORKSHOP SCHEDULE Aquatic Adventures AgesCREATURES OF THE DEEP

Source URL: www.easternqueensalliance.org

RMIT University Enhancing academic practice through holistic change; “a deep commitment to embedding sustainability” into a design curriculum Fiona Wahr Luise Adams Verity Prideaux

Source URL: www.vaee.vic.edu.au

• Environment
• Transformative learning
• Environmental economics
• Action learning
• Sustainability
• Learning
• Education
• Philosophy of education

From LANGUAGE PATHOLOGIES to AUTOMATIC

Source URL: www.afscet.asso.fr

• Linguistics
• Learning disabilities
• Educational psychology
• Neurological disorders
• Special education
• Dyslexia
• Cognitive science
• Natural language understanding
• Deep dyslexia
• Education
• Reading
• Science

REGULARIZATION OF CONTEXT-DEPENDENT DEEP NEURAL NETWORKS WITH CONTEXT-INDEPENDENT MULTI-TASK TRAINING Peter Bell and Steve Renals Centre for Speech Technology Research, University of Edinburgh, Edinburgh EH8 9AB, UK ABST

Source URL: homepages.inf.ed.ac.uk

• Science
• Speech recognition
• Multi-task learning
• Recurrent neural network
• Boltzmann machine
• Backpropagation
• Neural networks
• Machine learning
• Cybernetics

ADAPTATION OF CONTEXT-DEPENDENT DEEP NEURAL NETWORKS FOR AUTOMATIC SPEECH RECOGNITION Kaisheng Yao1 , Dong Yu2 , Frank Seide3 , Hang Su3,4 , Li Deng2 , and Yifan Gong1 1 Online Service Division, Microsoft Corporation, R

Source URL: wiki.inf.ed.ac.uk

• Algebra
• Machine learning
• Hidden Markov model
• Speech recognition
• Transformation matrix
• Backpropagation
• Affine transformation
• Linear map
• Artificial neural network
• Transformation
• Mathematics
• Neural networks

Deep Learning for NLP Stephen Pulman Dept. of Computer Science, Oxford University and TheySay Ltd , @sgpulman

Source URL: sentimentsymposium.com

• Neural networks
• Part-of-speech tagging
• Word-sense disambiguation
• Backpropagation
• Stochastic context-free grammar
• Vector
• Natural language processing
• Computational linguistics
• Science

New work has deep roots Mott Foundation Chairman, President & CEO William S. White describes how the Foundation’s newest environment work builds on decades of exploration and learning.

Source URL: www.mott.org

• Sustainability
• Sustainable development
• Environmental protection
• Interamerican Association for Environmental Defense
• Environment
• Environmental social science
• Environmentalism