@ARTICLE{7118198,
author={J. Cheng and H. Liu and F. Wang and H. Li and C. Zhu},
journal={IEEE Transactions on Image Processing},
title={Silhouette Analysis for Human Action Recognition Based on Supervised Temporal t-SNE and Incremental Learning},
year={2015},
volume={24},
number={10},
pages={3203-3217},
keywords={image motion analysis;image recognition;image representation;image sequences;learning (artificial intelligence);stochastic processes;ST-tSNE;class label information;human action recognition method;human silhouette sequences;incremental learning methods;intrinsic action structure;linear embedding;linear projection;linear representations;locality preserving projection;low-dimensional embedding;manifold-oriented stochastic neighbor projection;pattern manifold;supervised temporal t-SNE;supervised temporal t-stochastic neighbor embedding;temporal information;Euclidean distance;Feature extraction;Learning systems;Manifolds;Mathematical model;Probability distribution;Training;Human action recognition;incremental learning;manifold learning;stochastic neighbor embedding;Algorithms;Humans;Image Enhancement;Image Interpretation, Computer-Assisted;Motor Activity;Movement;Pattern Recognition, Automated;Photography;Reproducibility of Results;Sensitivity and Specificity;Subtraction Technique;Supervised Machine Learning;Whole Body Imaging},
doi={10.1109/TIP.2015.2441634},
ISSN={1057-7149},
month={Oct},}