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Okinawa Neural published presentations and documents on DocSlides.

The design of smart glasses for VR applications

The design of smart glasses for VR applications

  • giovanna-bartolotta
  • 11 Slides

The CU-GLASSES. KH . W. ong. The design of a smar...

Learning to Compare Image Patches via Convolutional Neural

Learning to Compare Image Patches via Convolutional Neural

  • giovanna-bartolotta
  • 18 Slides

Sergey Zagoruyko & Nikos Komodakis. Intr...

Rosalyn

Rosalyn

  • tatyana-admore
  • 33 Slides

Moran. Virginia Tech . Carilion. Research Instit...

Convolution modelling

Convolution modelling

  • marina-yarberry
  • 27 Slides

Advanced applications of the GLM, . SPM MEEG Cour...

A neural network approach to visual tracking

A neural network approach to visual tracking

  • tatiana-dople
  • 22 Slides

Zhe. Zhang, Kin Hong Wong*, . Zhiliang. . Zeng....

Neural networks and

Neural networks and

  • kittie-lecroy
  • 37 Slides

support vector machines. Perceptron. x. 1. x. 2. ...

Symbolic/Neural

Symbolic/Neural

  • giovanna-bartolotta
  • 64 Slides

Reasoning With Declarative Knowledge. William W C...

Neural Adaptive Video Streaming with

Neural Adaptive Video Streaming with

  • tatiana-dople
  • 20 Slides

Pensieve. Hongzi Mao . Ravi . Netravali Moham...

Breast Cancer Risk Prediction Using Neural Networks

Breast Cancer Risk Prediction Using Neural Networks

  • natalia-silvester
  • 57 Slides

John Sum. Institute of Technology Management Nati...

Principles of Dynamic Causal Modelling

Principles of Dynamic Causal Modelling

  • tawny-fly
  • 0 Slides

(DCM). Charité. - University Medicine . Berlin ...

Summary of “Efficient Deep Learning for Stereo Matching”

Summary of “Efficient Deep Learning for Stereo Matching”

  • kittie-lecroy
  • 0 Slides

Xi Mo. 4/3/2017. x. y. z. x. y. xl. xr. Disparity...

Smart Illegal Dumping Detection

Smart Illegal Dumping Detection

  • sherrill-nordquist
  • 0 Slides

. Akshay. . Dabholkar. , . Bhushan. . Muthiy...

Towards natural voices created from very short recordings: new developments in NN parametric TTS an

Towards natural voices created from very short recordings: new developments in NN parametric TTS an

  • alexa-scheidler
  • 0 Slides

Mr. Darko Pekar, Speech Morphing Inc.. Contents. ...

Rosalyn Moran Virginia Tech

Rosalyn Moran Virginia Tech

  • alexa-scheidler
  • 0 Slides

Carilion. Research Institute. Bradley Department...

Chapter 4 Phonology in neurolinguistics

Chapter 4 Phonology in neurolinguistics

  • lindy-dunigan
  • 0 Slides

Phonetics. Both study speech sounds.. Phonetics f...

Advanced Predictive Analytics

Advanced Predictive Analytics

  • alida-meadow
  • 0 Slides

Prof Sunil . Wattal. Agenda. Introductions. Intro...

Fast and Efficient Implementation of Convolutional Neural Networks on FPGA

Fast and Efficient Implementation of Convolutional Neural Networks on FPGA

  • stefany-barnette
  • 0 Slides

Abhinav . Podili. , Chi Zhang, Viktor . Prasanna....

Rosalyn Moran Virginia Tech

Rosalyn Moran Virginia Tech

  • cheryl-pisano
  • 0 Slides

Carilion. Research Institute. Bradley Department...

Deep content-based Music Recommendation

Deep content-based Music Recommendation

  • phoebe-click
  • 0 Slides

Kinan Halloum . 1. Presented paper. 2. Deep conte...

Recurrent Neural Network (RNN)

Recurrent Neural Network (RNN)

  • phoebe-click
  • 0 Slides

Example Application. Slot Filling. I would like t...

1 CS 6501 Natural Language Processing

1 CS 6501 Natural Language Processing

  • kittie-lecroy
  • 0 Slides

Neural Networks from Scratch. Presented . By. Wa...

Toward Human-Level ( and Beyond) Artificial Intelligence

Toward Human-Level ( and Beyond) Artificial Intelligence

  • calandra-battersby
  • 0 Slides

Prof. Lyle N. Long. Distinguished Professor of . ...

Word Window classification and Neural Networks

Word Window classification and Neural Networks

  • pasty-toler
  • 0 Slides

2017-03-24. 조수현. Contents. Extrinsic task. ...

Microwave-based Snowfall Rate Estimation, Artificial Neural Network Approach

Microwave-based Snowfall Rate Estimation, Artificial Neural Network Approach

  • giovanna-bartolotta
  • 0 Slides

Ali . Zahraei. Shayesteh. . Mahani. , Cecilia He...

Supervised and Unsupervised

Supervised and Unsupervised

  • lindy-dunigan
  • 0 Slides

. learning. and application to Neuroscience. Cou...

PATENTSCOPE Translation tools

PATENTSCOPE Translation tools

  • olivia-moreira
  • 0 Slides

July. 2017. Sandrine Ammann. Marketing & Comm...

Modeling Fairness in the Ultimatum Game

Modeling Fairness in the Ultimatum Game

  • stefany-barnette
  • 0 Slides

Kevin Dastalfo. Advisors: Andrew Belmonte and Chr...

How Neuroscience verifies Design Patterns, Biophilia, and the

How Neuroscience verifies Design Patterns, Biophilia, and the

  • lois-ondreau
  • 0 Slides

Mathematical rules for Healing Structure. Nikos S...

Marco Salvi NVIDIA Deep Learning:

Marco Salvi NVIDIA Deep Learning:

  • min-jolicoeur
  • 0 Slides

The Future of Real-Time Rendering?. 1. Deep Learn...

Ch. 9: Introduction to Convolution Neural Networks

Ch. 9: Introduction to Convolution Neural Networks

  • karlyn-bohler
  • 0 Slides

CNN. KH Wong. CNN. V7b. 1. Introduction. Very Pop...

Vision Marisa Badamo , Shelly

Vision Marisa Badamo , Shelly

  • faustina-dinatale
  • 0 Slides

Elango. , Mindy Heard, Carly Niedbalski, and . Ar...

Pediatric Neurological Disorders

Pediatric Neurological Disorders

  • briana-ranney
  • 0 Slides

Dr. Gary Mumaugh. Growth and Development of Nervo...

Introduction to autism research

Introduction to autism research

  • tatyana-admore
  • 0 Slides

Ilan Dinstein. What is the cause of autism?. Dend...

Lecture 1: Deep Neural Networks and Backpropagation Training

Lecture 1: Deep Neural Networks and Backpropagation Training

  • calandra-battersby
  • 0 Slides

Reading and Research in Deep Learning. James K Ba...

An Introduction to Human-Aided

An Introduction to Human-Aided

  • pamella-moone
  • 0 Slides

Deep . Learning. James K . Baker, Bhiksha Raj. , ...

Evolutionary Computation for Creativity and Intelligence

Evolutionary Computation for Creativity and Intelligence

  • aaron
  • 0 Slides

By Lauren Gillespie, Gabby Gonzalez, and Alex Rol...

Estimating Tract Variables from acoustics via

Estimating Tract Variables from acoustics via

  • karlyn-bohler
  • 0 Slides

machine learning. Christiana Sabett. Applied mat...

Chapter 3 Habituation and Sensitization

Chapter 3 Habituation and Sensitization

  • natalia-silvester
  • 0 Slides

Effects of Repeated Presentation of an Eliciting ...

Handwritten Digit Recognition Using Stacked Autoencoders

Handwritten Digit Recognition Using Stacked Autoencoders

  • tatiana-dople
  • 0 Slides

Yahia. Saeed, . Jiwoong. Kim, Lewis Westfall, a...

Neural Machine Translation

Neural Machine Translation

  • phoebe-click
  • 0 Slides

. by. . Jointly. Learning . to. . Align. . a...

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