Rotation-invariant convolutional neural networks for galaxy morphology prediction.
Sander DielemanKyle W. WillettJoni DambrePublished in: CoRR (2015)
Keyphrases
- rotation invariant
- convolutional neural networks
- rotation invariance
- texture classification
- texture analysis
- steerable filters
- zernike moments
- feature vectors
- local binary pattern
- scale invariance
- texture features
- texture image retrieval
- dominant orientation
- thinning algorithm
- texture descriptors
- image processing
- shape context
- steerable pyramid
- machine learning
- convolutional network
- texture images
- gabor filters
- feature extraction
- multiresolution
- image analysis
- multiscale
- face recognition