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 42ffb13eb3 Upload files to 'MNIST/Product Quantization/Functions'		1 年之前
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Yael Library	bdf150d93a Upload files to 'MNIST/Product Quantization/Functions/Yael Library'	1 年之前
AsymmetricDistanceComputation.m	42ffb13eb3 Upload files to 'MNIST/Product Quantization/Functions'	1 年之前
EuclideanDistancesMat.m	42ffb13eb3 Upload files to 'MNIST/Product Quantization/Functions'	1 年之前
Quantization.m	42ffb13eb3 Upload files to 'MNIST/Product Quantization/Functions'	1 年之前
SumCentroidsDistances.m	42ffb13eb3 Upload files to 'MNIST/Product Quantization/Functions'	1 年之前