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Now showing items 21-24 of 24
A vector quantization based k-NN approach for large-scale image classification
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
The k-nearest-neighbour classifiers (k-NN) have been one of the simplest yet most effective approaches to instance based learning problem for image classification. However, with the growth of the size of image datasets and ...
1-D Convolutional Neural Networks for Signal Processing Applications
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
1D Convolutional Neural Networks (CNNs) have recently become the state-of-the-art technique for crucial signal processing applications such as patient-specific ECG classification, structural health monitoring, anomaly ...
The effect of automated taxa identification errors on biological indices
(
Elsevier Ltd
, 2017 , Article)
In benthic macroinvertebrate biomonitoring systems, the target is to determine the status of ecosystems based on several biological indices. To increase cost-efficiency, computer-based taxa identification for image data ...
Convolutional Neural Networks for patient-specific ECG classification
(
IEEE
, 2015 , Conference Paper)
We propose a fast and accurate patient-specific electrocardiogram (ECG) classification and monitoring system using an adaptive implementation of 1D Convolutional Neural Networks (CNNs) that can fuse feature extraction and ...