Convolution

Results: 636



#Item
191GNU C-Graph Visualize convolution with GNU C-Graph, a free software tool for studying the theorem key to DSP & computer vision - derived from a BSc thesis, inspired by

GNU C-Graph Visualize convolution with GNU C-Graph, a free software tool for studying the theorem key to DSP & computer vision - derived from a BSc thesis, inspired by "Blade Runner". http://www.gnu.org/software/c-graph

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Source URL: gnu.org

Language: English - Date: 2013-09-22 12:26:01
192Appendix K The FFT K.1. WHAT it is, WHERE it is used, and WHY. The Fast Fourier Transform, or FFT, is an efficient algorithm for calculating the Discrete Fourier Transform, or DFT. What is the

Appendix K The FFT K.1. WHAT it is, WHERE it is used, and WHY. The Fast Fourier Transform, or FFT, is an efficient algorithm for calculating the Discrete Fourier Transform, or DFT. What is the

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Source URL: vmm.math.uci.edu

Language: English - Date: 2010-07-07 15:29:31
193GNU C-Graph Visualize convolution with GNU C-Graph, a free software tool for studying the theorem key to DSP & computer vision - derived from a BSc thesis, inspired by

GNU C-Graph Visualize convolution with GNU C-Graph, a free software tool for studying the theorem key to DSP & computer vision - derived from a BSc thesis, inspired by "Blade Runner". http://www.gnu.org/software/c-graph

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Source URL: gnu.org

Language: English - Date: 2013-09-22 12:26:01
194Efficient Belief Propagation for Early Vision Pedro F. Felzenszwalb Computer Science Department, University of Chicago Daniel P. Huttenlocher

Efficient Belief Propagation for Early Vision Pedro F. Felzenszwalb Computer Science Department, University of Chicago Daniel P. Huttenlocher

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Source URL: cs.brown.edu

Language: English - Date: 2015-04-07 21:33:19
195EG3220 – Digital Signal Processing

EG3220 – Digital Signal Processing

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Source URL: www.le.ac.uk

Language: English - Date: 2006-01-27 10:19:15
196cuDNN: Efficient Primitives for Deep Learning arXiv:1410.0759v3 [cs.NE] 18 Dec 2014 Sharan Chetlur, Cliff Woolley, Philippe Vandermersch, Jonathan Cohen, John Tran NVIDIA

cuDNN: Efficient Primitives for Deep Learning arXiv:1410.0759v3 [cs.NE] 18 Dec 2014 Sharan Chetlur, Cliff Woolley, Philippe Vandermersch, Jonathan Cohen, John Tran NVIDIA

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Source URL: arxiv.org

Language: English - Date: 2014-12-18 20:23:45
197ENGG1015: Homework 2 Dr. Kenneth Wong / Dr. Hayden So Due: 5pm, Nov 3, 2010 Turn in your homework at boxes outside Rm712, CYC Building Question 1

ENGG1015: Homework 2 Dr. Kenneth Wong / Dr. Hayden So Due: 5pm, Nov 3, 2010 Turn in your homework at boxes outside Rm712, CYC Building Question 1

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Source URL: www.eee.hku.hk

Language: English - Date: 2010-10-22 02:40:08
198c W.C Carter Lecture 18 MITFall 2012

c W.C Carter Lecture 18 MITFall 2012

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Source URL: pruffle.mit.edu

Language: English - Date: 2012-11-09 14:47:56
199196 c W.C Carter MITFall 2007 Lecture 18

196 c W.C Carter MITFall 2007 Lecture 18

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Source URL: pruffle.mit.edu

Language: English - Date: 2009-06-08 11:31:30
200Caffe con Troll: Shallow Ideas to Speed Up Deep Learning Stefan Hadjis† Ce Zhang†‡ Christopher Ré† † Stanford University ‡ University of Wisconsin-Madison

Caffe con Troll: Shallow Ideas to Speed Up Deep Learning Stefan Hadjis† Ce Zhang†‡ Christopher Ré† † Stanford University ‡ University of Wisconsin-Madison

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Source URL: arxiv.org

Language: English - Date: 2015-04-16 20:23:39