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51 959 (0,221s)

Result

Deep Convolutional Neural Network for Fire Detection

Detection of smoke and fire using deep convolutional neural network to process video signals from camera.

Communication engineering and systems

  • 2020
  • D
  • Link
Result

Deep Networks with RBF Layers to Prevent Adversarial Examples

We propose a simple way to increase the robustness of deep neural network models to adversarial examples. The new architecture obtained by stacking deep neural network and RBF network is ...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2018
  • D
  • Link
Result

Deep Neural Networks and Hidden Markov Models in i-vector-based Text-Dependent Speaker Verification

This article is about deep neural networks and hidden Markov models in i-vector-based text-dependent speaker verification.

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2016
  • D
  • Link
Result

Deep neural network

The designed algorithm of deep neural network is a generalization of the back of the neural network (network depth), complemented by a forward pre-learning (depth learning) neural net...

Electrical and electronic engineering

  • 2022
  • R
  • Link
Result

Compression Artifacts Removal Using Convolutional Neural Networks

This paper shows that it is possible to train large and deep convolutional neural networks (CNN) for JPEG compression artifacts reduction....

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2016
  • JSC
  • Link
Result

Multi-task Neural Networks For Speech Recognition

The article covers experiments on TIMIT database exploring the possibility of using multitask neural networks for speech recognition. Multi-task neural networks are deep neural networks s...

IN - Informatika

  • 2014
  • D
  • Link
Result

Deep Neural Network and Text Processing: A Literature Review

of the relevant facets of deep neural network use in NLP. (C) 2022 IEEE. on neural networks in their use of in text analysis. Neural networks were observedDeep learning is a pow...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2022
  • D
  • Link
Result

Image contours detection with deep features and SVM

This contribution introduces the image contours detection based on the features extracted by a deep convolutional neural network. Popular pre-trained network VGG19 was used to extract 5504 different features for ea...

Applied mathematics

  • 2018
  • D
  • Link
Result

Deep Learning and Higher Degree F-transforms: Interpretable Kernels Before and After Learning

One of the current trends in the deep neural network technology consists-transform-based deep neural network in the domain of image processing with the focus-transform and first-layer kernels in t...

Applied mathematics

  • 2020
  • Jimp
  • Link
Result

Historical Calibration of SVJD Models with Deep Learning

Main topics of the document: stochastic volatility; price jumps; SVJD; neural networks; deep learning; CNN...

Finance

  • 2023
  • O
  • Link
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