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 61638c707e Add 'MNIST/Neural Networks over PQ/PQ Library/Yael Library/Readme.md'		11 meses atrás
..
PQ Library	61638c707e Add 'MNIST/Neural Networks over PQ/PQ Library/Yael Library/Readme.md'	11 meses atrás
WNN Library	a38733cf8a Upload files to 'MNIST/Neural Networks over PQ/WNN Library'	1 ano atrás
Plot_Run_WNNetsOverPQ_Fine_Coarse.m	b26676a3d3 Upload files to 'MNIST/Neural Networks over PQ'	1 ano atrás
QuantHammingAllOfTheCanonicalIndices.m	b26676a3d3 Upload files to 'MNIST/Neural Networks over PQ'	1 ano atrás
Run_WNNetsOverPQ_Fine_Coarse.m	b26676a3d3 Upload files to 'MNIST/Neural Networks over PQ'	1 ano atrás
WNNetsOverPQ_Fine_Coarse.m	b26676a3d3 Upload files to 'MNIST/Neural Networks over PQ'	1 ano atrás
WNNetsOverPQ_Fine_Coarse_All_Centroids_Assets.m	b26676a3d3 Upload files to 'MNIST/Neural Networks over PQ'	1 ano atrás
WNNetsOverPQ_Fine_Coarse_function.m	b26676a3d3 Upload files to 'MNIST/Neural Networks over PQ'	1 ano atrás