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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 ...
Acceleration Approaches for Big Data Analysis
(
IEEE Computer Society
, 2018 , Conference Paper)
The massive size of data that needs to be processed by Machine Learning models nowadays sets new challenges related to their computational complexity and memory footprint. These challenges span all processing steps involved ...