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Flexible kernel memorySelf-Organization of Spatio-Temporal Hierarchy via Learning of Dynamic Visual Image Patterns on Action SequencesSkimming Digits: Neuromorphic Classification of Spike-Encoded ImagesUnsupervised Learning by Spike Timing Dependent Plasticity in Phase Change Memory (PCM) SynapsesPoker-DVS and MNIST-DVS. Their History, How They Were Made, and Other DetailsLocalizing Tortoise Nests by Neural NetworksDeepChrome: deep-learning for predicting gene expression from histone modificationsFrom Machine Learning to Machine ReasoningVery Deep Convolutional Networks for Text ClassificationBuilding Machines That Learn and Think Like PeopleImage Classification Using Biomimetic Pattern Recognition with Convolutional Neural Networks Features.Application of the PAMONO-Sensor for Quantification of Microvesicles and Determination of Nano-Particle Size DistributionAutomatic Recognition of Element Classes and Boundaries in the Birdsong with Variable Sequences.Crowdsourcing reproducible seizure forecasting in human and canine epilepsyANNarchy: a code generation approach to neural simulations on parallel hardware.Benchmarking Spike-Based Visual Recognition: A Dataset and EvaluationA Neural-Dynamic Architecture for Concurrent Estimation of Object Pose and IdentityAn Empirical Bayes risk prediction model using multiple traits for sequencing data.Analyzing Brain Functions by Subject Classification of Functional Near-Infrared Spectroscopy Data Using Convolutional Neural Networks AnalysisOn the relationships between generative encodings, regularity, and learning abilities when evolving plastic artificial neural networksCNN-SVM for Microvascular Morphological Type Recognition with Data Augmentation.Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent.Towards automatic pulmonary nodule management in lung cancer screening with deep learning.Face classification using electronic synapsesElectroencephalogram-based decoding cognitive states using convolutional neural network and likelihood ratio based score fusion.Classification of breast cancer histology images using Convolutional Neural Networks.CNNdel: Calling Structural Variations on Low Coverage Data Based on Convolutional Neural NetworksEvent-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning MachinesBag of Visual Words Model with Deep Spatial Features for Geographical Scene Classification.Entity recognition from clinical texts via recurrent neural network.A genetic and computational approach to structurally classify neuronal types.A scatter-based prototype framework and multi-class extension of support vector machines.Invariant representations of visual patterns in a temporal population code.Top-down feedback in an HMAX-like cortical model of object perception based on hierarchical Bayesian networks and belief propagationHuman-level concept learning through probabilistic program induction.Bayesian computation emerges in generic cortical microcircuits through spike-timing-dependent plasticityDeep neural networks rival the representation of primate IT cortex for core visual object recognition.Constructive autoassociative neural network for facial recognition.Active semi-supervised learning method with hybrid deep belief networks.Director field model of the primary visual cortex for contour detection.
P2860
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P2860
description
1998 թուականին հրատարակուած գիտական յօդուած
@hyw
1998 թվականին հրատարակված գիտական հոդված
@hy
artículu científicu espublizáu en 1998
@ast
im Januar 1998 veröffentlichter wissenschaftlicher Artikel
@de
scholarly article
@en
wetenschappelijk artikel (gepubliceerd in 1998)
@nl
наукова стаття, опублікована в 1998
@uk
مقالة علمية (نشرت عام 1998)
@ar
name
Gradient-based learning applied to document recognition
@ast
Gradient-based learning applied to document recognition
@en
type
label
Gradient-based learning applied to document recognition
@ast
Gradient-based learning applied to document recognition
@en
prefLabel
Gradient-based learning applied to document recognition
@ast
Gradient-based learning applied to document recognition
@en
P50
P3181
P356
P1476
Gradient-based learning applied to document recognition
@en
P2093
Patrick Haffner
P304
P3181
P356
10.1109/5.726791
P407
P577
1998-01-01T00:00:00Z