Decoding - PDFSEARCH.IO - Document Search Engine

Decoding
Results: 736

#	Item
81	New Algorithms for Learning in Presence of Errors∗ Sanjeev Arora Rong Ge Add to Reading List Source URL: users.cs.duke.edu Language: English - Date: 2010-12-13 10:01:53 Mathematics Algebra Polynomials Computer algebra Group theory Vector space SchwartzZippel lemma GuruswamiSudan list decoding algorithm Factorization of polynomials over finite fields
82	CHAPTER 38 Parallel LDPC Decoding Add to Reading List Source URL: www.inesc-id.pt Language: English - Date: 2011-03-12 03:41:16 Computing Error detection and correction Concurrent computing Computer architecture Parallel computing Graphics hardware GPGPU Video cards Low-density parity-check code Forward error correction Turbo code General-purpose computing on graphics processing units
83	Computational Intelligence for Decoding Brain’s Motor Cortical Functions Jennie Si, Ph.D. () Professor, School of Electrical, Computer and Energy Engineering Graduate Faculty of the School of Biological and H Add to Reading List Source URL: www.conference123.org Language: English - Date: 2014-07-16 23:21:48 Neuroscience Computational neuroscience Nervous system Neural networks Cognitive science Artificial neural networks Computational statistics Biological neural network Brain Neural coding Neural decoding Neural engineering
84	Low-Complexity Coding and Decoding Sepp Hochreiter and Jurgen Schmidhuber Technische Universitat Munchen, 80290 Munchen, Germany and IDSIA, Corso Elvezia 36, CH-6900-Lugano, Switzerland Abstract. We present a novel Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-01-23 02:15:47 Artificial neural networks Applied mathematics Machine learning Statistics Factorial code Sepp Hochreiter Backpropagation Competitive learning Self-organizing map Autoencoder
85	Empirical models of spiking in neural populations ¨ Lars Busing Gatsby Computational Neuroscience Unit University College London, UK Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English Neuroscience Nervous system Computational neuroscience Neural networks Neural coding Neural decoding Generalized linear model Neural ensemble Neuron
86	Decoding the Code How Can NYC’s Building Code Help Meet PlaNYC 2030 Energy/Carbon Reduction Goals? A Report Prepared By City University of New York CUNY Institute for Urban Systems Add to Reading List Source URL: www.sallan.org Language: English - Date: 2008-07-18 16:00:22 Energy Sustainability Natural environment Environment of the United States Greenhouse gas emissions Low-energy building Environmental design Energy conservation PlaNYC Efficient energy use Leadership in Energy and Environmental Design Carbon neutrality
87	VelociTap: Investigating Fast Mobile Text Entry using Sentence-Based Decoding of Touchscreen Keyboard Input Add to Reading List Source URL: www.keithv.com Language: English - Date: 2015-04-19 18:05:44 Language Input/output Computer hardware Computing Typing Words per minute Fleksy Computer keyboard QWERTY Keyboard layout Error detection and correction Reading
88	Low-dimensional models of neural population activity in sensory cortical circuits Evan Archer1,2 , Urs K¨oster3 , Jonathan Pillow4 , Jakob H. Macke1,2 1 Max Planck Institute for Biological Cybernetics, T¨ubingen Add to Reading List Source URL: www.kyb.tuebingen.mpg.de Language: English - Date: 2015-02-25 10:55:26 Nervous system Neuroscience Computational neuroscience Biology Neural coding Spike-triggered average Receptive field Spike-triggered covariance Neural decoding Linear-nonlinear-Poisson cascade model
89	Inferring neural population dynamics from multiple partial recordings of the same neural circuit Srinivas C. Turaga∗1,2 , Lars Buesing1 , Adam M. Packer2 , Henry Dalgleish2 , Noah Pettit2 , Michael H¨ausser2 and Jakob Add to Reading List Source URL: www.mackelab.org Language: English - Date: 2016-08-04 15:02:45 Neuroscience Nervous system Computational neuroscience Cognitive neuroscience Neural networks Neurobiology Artificial neural network Neuron Neural ensemble Neuroglia Neural decoding Neural coding
90	Simple Extractors for All Min-Entropies and a New Pseudorandom Generator∗ Ronen Shaltiel † Christopher Umans ‡ Add to Reading List Source URL: users.cms.caltech.edu Language: English - Date: 2004-12-08 14:14:59 Cryptography Theoretical computer science Computational complexity theory Theory of computation Pseudorandomness Random number generation Randomness Randomness extractor Pseudorandom generator Extractor Advice List decoding

UPDATE