On Estimation of the Number of Image Principal Colors and Color Reduction through Self-Organized Neural Networks A. Atsalakis, N. Papamarkos, I. Andreadis Division of Electronics and Information Systems Technology, Depar

Source URL: www.papamarkos.gr

Complexity Beyond the Trigram: Identifying Sign Languages from Video Using Neural Networks Pamela Toman Stanford University

Source URL: cs231n.stanford.edu

Applied Soft Computing–2389 Contents lists available at SciVerse ScienceDirect Applied Soft Computing journal homepage: www.elsevier.com/locate/asoc

Source URL: dept.stat.lsa.umich.edu

• Artificial neural networks
• Statistics
• Applied mathematics
• Machine learning
• Homogeneous charge compression ignition
• Multilayer perceptron
• Radial basis function network
• Principal component analysis
• Recurrent neural network
• Artificial neuron
• Perceptron
• Internal combustion engine

arXiv:1603.08240v1 [cs.CV] 27 MarDeLight-Net: Decomposing Reflectance Maps into Specular Materials and Natural Illumination Stamatios Georgoulis∗1 , Konstantinos Rematas∗1 , Tobias Ritschel2 , Mario Fritz3 , L

Source URL: arxiv.org

• Shading
• Optics
• Computer graphics
• Radiometry
• Artificial neural networks
• 3D rendering
• Electromagnetic radiation
• Academia
• Reflectance
• Deep lambertian networks
• Phong reflection model
• Bidirectional reflectance distribution function

Sequence-to-Sequence Neural Net Models for Grapheme-to-Phoneme Conversion Kaisheng Yao, Geoffrey Zweig Microsoft Research {kaisheny, gzweig}@microsoft.com

Source URL: research.microsoft.com

• Artificial neural networks
• Machine learning
• Applied mathematics
• Cybernetics
• Long short-term memory
• Recurrent neural network
• Speech recognition
• Bidirectional recurrent neural networks
• Artificial intelligence
• Language model
• NETtalk
• Backpropagation through time

A Cellular Similarity Metric Induced by Siamese Convolutional Neural Networks Morgan Paull Stanford Bioengineering Abstract

Source URL: cs231n.stanford.edu

Hitting Depth: Investigating Robustness to Adversarial Examples in Deep Convolutional Neural Networks Chris Billovits Stanford University Mihail Eric

Source URL: cs231n.stanford.edu

Regularization of Neural Networks using DropConnect Li Wan Matthew Zeiler

Source URL: www.matthewzeiler.com

BAYESIAN LEARNING FOR NEURAL NETWORKS by Radford M. Neal A thesis submitted in conformity with the requirements

Source URL: www.db.toronto.edu

Insect Classification With Heirarchical Deep Convolutional Neural Networks Convolutional Neural Networks for Visual Recognition (CS231N) , Stanford University FINAL REPORT, Team ID: March 2016 Jeffrey Glick

Source URL: cs231n.stanford.edu