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 year ago
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BuildNetwork.m	a38733cf8a Upload files to 'MNIST/Neural Networks over PQ/WNN Library'	1 year ago
BuildNetworkfromIdxs.m	a38733cf8a Upload files to 'MNIST/Neural Networks over PQ/WNN Library'	1 year ago
QuantHammingCanonicalIndices.m	a38733cf8a Upload files to 'MNIST/Neural Networks over PQ/WNN Library'	1 year ago
QuantHammingCanonicalIndices_ceil.m	a38733cf8a Upload files to 'MNIST/Neural Networks over PQ/WNN Library'	1 year ago
SearchNetwork.m	a38733cf8a Upload files to 'MNIST/Neural Networks over PQ/WNN Library'	1 year ago