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: yann.lecun.com

• Statistical classification
• Error detection and correction
• Yann LeCun
• Linear classifier
• Matching pursuit
• Supervised learning
• Unsupervised learning
• Caltech 101
• Support vector machine
• Statistics
• Artificial intelligence
• Machine learning

Scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers Clément Farabet 1,2 CFARABET @ CS . NYU . EDU Camille Couprie 1

Source URL: icml.cc

• Imaging
• Vision
• Segmentation
• Watershed
• Linear classifier
• Object recognition
• Pattern recognition
• Yann LeCun
• Artificial intelligence
• Image processing
• Computer vision

Scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers Clément Farabet1,2 Camille Couprie1

Source URL: arxiv.org

• Vision
• Optics
• Segmentation
• Object recognition
• Linear classifier
• Watershed
• Image gradient
• Contextual image classification
• Image processing
• Computer vision
• Imaging

A Window on the Centre for Lifelong Learning An occasional feature by Val Bissland December 2010 Chase the Winter Blues At this time of year – especially this winter when the weather has been Arctic and many of the eve

Source URL: www.strath.ac.uk

• Psychology
• Emotions
• Personal life
• Psychologists
• Happiness
• Pleasure
• Ed Diener
• Happiness at work
• Mind
• Ethics
• Positive psychology

A Window on the Centre for Lifelong Learning An occasional feature by Val Bissland January 2011 A New Start – Watch out for the ‘Glasgow Effect’. There are two schools of thought when it comes to making New Year re

Source URL: www.strath.ac.uk

• Psychology
• Dweck
• Geography of the United Kingdom
• Geography of Scotland
• Mindset
• Carol Dweck
• Glasgow

Capturing, Analyzing, and Transmitting Intangible Cultural Heritage with the i-Treasures Project A. Jaumard-Hakoun1,2, S. K. Al Kork¹,2, M. Adda-Decker3, A. Amelot3, L. Buchman³, G. Dreyfus2 , T. Fux3, P. Roussel2, C.

Source URL: www.qmu.ac.uk

• Science
• Ultrasound
• Autoencoder
• Feature
• Machine learning
• Boltzmann machine
• Applied mathematics
• Neural networks
• Computational neuroscience
• Cybernetics

A Window on the Centre for Lifelong Learning An occasional feature by Val Bissland January 2012 Work-Life Balance for 2013 Like many other people, I imagine, I made time over the holiday period to sift through piles of r

Source URL: www.strath.ac.uk

• Education in Wales
• NIACE
• Lifelong learning
• Education
• Learning
• Education in England

THE PERILS OF IGNORING DATA SUITABILITY The Suitability of Data Used to Train Neural Networks Deserves More Attention Kevin Swingler Computing and Maths, University of Stirling, Stirling, FK9 4LA, Scotland [removed]

Source URL: www.cs.stir.ac.uk

• Data mining
• Computational neuroscience
• Neural networks
• Data analysis
• Artificial neural network
• Decision tree learning
• Feature selection
• Algorithm
• Support vector machine
• Statistics
• Machine learning
• Science

Cognitive Science[removed]–957 Copyright ! 2010 Cognitive Science Society, Inc. All rights reserved. ISSN: [removed]print[removed]online DOI: [removed]j[removed]01092.x The Effects of Feature-Label-Ord

Source URL: psych.stanford.edu

• Mental processes
• Memory
• Developmental psychology
• Learning
• Systems science
• Encoding
• Association value
• Affect
• Cue
• Mind
• Psychology
• Cognitive science

A Window on the Centre for Lifelong Learning A regular feature by Val Bissland 18 July 2008 Burgeoning Art The new ‘grey’ creativity

Source URL: www.strath.ac.uk