Convolutional neural network

Results: 192



#Item
111Operations research / Simulation / Rendering / Convolutional neural network / Deep learning / Computer vision / 3D computer graphics

arXiv:1604.00066v1 [cs.CV] 31 MarTo Fall Or Not To Fall: A Visual Approach to Physical Stability Prediction

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Source URL: arxiv.org

Language: English - Date: 2016-04-03 20:26:37
112Information science / Solid mechanics / Mechanics / Music information retrieval / Deformation / Artificial neural networks / Music software / Convolutional neural network / International Society for Music Information Retrieval / Plasticity / Annotation / Database

A SOFTWARE FRAMEWORK FOR MUSICAL DATA AUGMENTATION Brian McFee1,2,* , Eric J. Humphrey2,3 , and Juan P. Bello2 1 2

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Source URL: bmcfee.github.io

Language: English - Date: 2016-05-31 12:44:38
113Artificial neural networks / Computational neuroscience / Artificial intelligence / Computer vision / Convolutional neural network / Deep learning / Machine learning / MNIST database / Vanishing gradient problem / Receptive field / Network architecture / OSI model

Going Deeper with Convolutions Christian Szegedy1 , Wei Liu2 , Yangqing Jia1 , Pierre Sermanet1 , Scott Reed3 , Dragomir Anguelov1 , Dumitru Erhan1 , Vincent Vanhoucke1 , Andrew Rabinovich4 1 Google Inc. 2 University of

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Source URL: www.cs.unc.edu

Language: English - Date: 2015-06-18 20:42:20
114Artificial neural networks / Applied mathematics / Machine learning / Cybernetics / Recurrent neural network / Deep learning / Long short-term memory / Stochastic gradient descent / Convolutional neural network / Rectifier / Backpropagation / Gradient descent

ADVANCES IN OPTIMIZING RECURRENT NETWORKS Yoshua Bengio, Nicolas Boulanger-Lewandowski and Razvan Pascanu arXiv:1212.0901v2 [cs.LG] 14 DecU. Montreal

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Source URL: arxiv.org

Language: English - Date: 2012-12-16 20:30:23
115Artificial neural networks / Artificial intelligence / Computing / Computational neuroscience / Cybernetics / Machine learning / Word2vec / Word embedding / Automatic image annotation / Convolutional neural network / Annotation / Attribute

Multi-Cue Zero-Shot Learning with Strong Supervision Zeynep Akata, Mateusz Malinowski, Mario Fritz and Bernt Schiele arXiv:1603.08754v1 [cs.CV] 29 MarMax-Planck Institute for Informatics

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Source URL: arxiv.org

Language: English - Date: 2016-03-29 20:29:24
116Artificial neural networks / Computational neuroscience / Cybernetics / Applied mathematics / Neuroscience / Computational statistics / Deep learning / Recurrent neural network / Convolutional neural network / Image segmentation / Physics / Prediction

Spatio-Temporal Image Boundary Extrapolation arXiv:1605.07363v1 [cs.CV] 24 May 2016 Apratim Bhattacharyya Max Planck Institute for Informatics

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Source URL: arxiv.org

Language: English - Date: 2016-05-24 20:30:10
117Artificial neural networks / Computational neuroscience / Cognition / Neuroscience / Cognitive science / Deep learning / Convolutional neural network / Long short-term memory / Optical flow / Conference on Computer Vision and Pattern Recognition / Recurrent neural network / Flow

Actions ⇠ Transformations 1 Xiaolong Wang1⇤ Ali Farhadi2,3 Abhinav Gupta1,3

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Source URL: ai2-website.s3.amazonaws.com

Language: English - Date: 2016-05-10 13:04:51
118

Pose Estimation on Depth Images with Convolutional Neural Network Jingwei Huang Stanford University David Altamar Stanford University

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Source URL: cs231n.stanford.edu

Language: English - Date: 2016-03-23 18:05:39
    119Computational neuroscience / Artificial neural networks / Computational statistics / Computer vision / Deep learning / Recurrent neural network / Convolutional neural network / Conference on Computer Vision and Pattern Recognition / Activity recognition

    Recognition of Ongoing Complex Activities by Sequence Prediction over a Hierarchical Label Space Wenbin Li Mario Fritz Max Planck Institute for Informatics wenbinli,

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    Source URL: scalable.mpi-inf.mpg.de

    Language: English - Date: 2016-01-23 16:13:07
    120Artificial neural networks / Computational neuroscience / Artificial intelligence / Machine learning / Applied mathematics / Cybernetics / Computer vision / Convolutional neural network / Deep learning / Feature detection / Feature learning / Supervised learning

    Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis Quoc V. Le, Will Y. Zou, Serena Y. Yeung, Andrew Y. Ng Computer Science Department and Department of Elec

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    Source URL: cs.stanford.edu

    Language: English - Date: 2011-04-07 02:30:19
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