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Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to …
Resources about activity recognition-行为识别资料
Code and some data for 'Recurrent Scale Approximation for Object Detection in CNN' in ICCV 2017
Weakly Supervised Action Recognition and Detection
code for IJCAI2015 paper "Network Representation Learning with Rich Text Information"
One-Class SVM implementations for temporal segmentation of human activities
source code for IJCAI 17 paper "Fast Network Embedding Enhancement via High Order Proximity Approximation"
Neural tensor network for KB completion ( http://papers.nips.cc/paper/by-source-2013-504 )
Wrapper around the BPMLL model to obtain results on benchmark multilabel datasets.
In Self-taught learning and Unsupervised feature learning, we will give our algorithms a large amount of unlabeled data with which to learn a good feature representation of the input.
Source code of our CVPR 2018 paper "Deep Cross-media Knowledge Transfer".
Video scene recognition with bag of words
Implementation of PCA and ZCA whitening, and applying them to image patches taken from natural images.
In Self-taught learning and Unsupervised feature learning, we will give our algorithms a large amount of unlabeled data with which to learn a good feature representation of the input.