Displaying 1 to 3 from 3 results

grt - gesture recognition toolkit

  •    C++

The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, C++ machine learning library designed for real-time gesture recognition. Classification: Adaboost, Decision Tree, Dynamic Time Warping, Gaussian Mixture Models, Hidden Markov Models, k-nearest neighbor, Naive Bayes, Random Forests, Support Vector Machine, Softmax, and more...

AMSoftmax - A simple yet effective loss function for face verification.

  •    Matlab

The paper is available as a technical report at arXiv. In this work, we design a new loss function which merges the merits of both NormFace and SphereFace. It is much easier to understand and train, and outperforms the previous state-of-the-art loss function (SphereFace) by 2-5% on MegaFace.

efficient_softmax - BlackOut and Adaptive Softmax for language models by Chainer

  •    Python

Implementations of Blackout and Adaptive Softmax for efficiently calculating word distribution for language modeling of very large vocabularies. LSTM language models are derived from rnnlm_chainer.