56Fe/Nearest-Neighbour-Search-Neural-Networks-Product-Quantization: Code for: Ferro, D., Gripon, V. and Jiang, X., 2016, July. Nearest neighbour search using binary neural networks. In 2016 International Joint Conference on Neural Networks (IJCNN) (pp. 5106-5112). IEEE. The code finds nearest neighbours in terms of Euclidean distance, and uses it for classification. The search is optimized by combining Product Quantization (PQ) and binary neural associative memories (Willshaw Neural Networks). DOI

Demetrio Ferro a38733cf8a Upload files to 'MNIST/Neural Networks over PQ/WNN Library'		1 год назад
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BuildNetwork.m	a38733cf8a Upload files to 'MNIST/Neural Networks over PQ/WNN Library'	1 год назад
BuildNetworkfromIdxs.m	a38733cf8a Upload files to 'MNIST/Neural Networks over PQ/WNN Library'	1 год назад
QuantHammingCanonicalIndices.m	a38733cf8a Upload files to 'MNIST/Neural Networks over PQ/WNN Library'	1 год назад
QuantHammingCanonicalIndices_ceil.m	a38733cf8a Upload files to 'MNIST/Neural Networks over PQ/WNN Library'	1 год назад
SearchNetwork.m	a38733cf8a Upload files to 'MNIST/Neural Networks over PQ/WNN Library'	1 год назад