Learning Features for Activity Recognition with Shift-Invariant Sparse Coding.
Christian VollmerHorst-Michael GrossJulian EggertPublished in: ICANN (2013)
Keyphrases
- shift invariant
- sparse coding
- activity recognition
- unsupervised learning
- natural images
- feature extraction
- feature space
- image classification
- reinforcement learning
- learning algorithm
- sparse representation
- wavelet domain
- learning process
- generative model
- linear combination
- wavelet coefficients
- prior knowledge
- rotation invariant
- image representation
- image patches
- action recognition
- high dimensional
- face recognition
- feature vectors
- active learning
- multiresolution
- data sets
- supervised learning