High-Dimensional Convolutional Networks for Geometric Pattern Recognition.
Christopher ChoyJunha LeeRené RanftlJaesik ParkVladlen KoltunPublished in: CVPR (2020)
Keyphrases
- pattern recognition
- high dimensional
- dimensionality reduction
- network design
- sparse coding
- network structure
- neural network
- computer vision
- pattern recognition problems
- deep learning
- heterogeneous networks
- sparse data
- network analysis
- complex networks
- similarity search
- high dimensional data
- social networks
- image processing
- nearest neighbor
- image analysis
- data points
- machine learning
- signal processing
- fuzzy sets
- high dimensionality
- feature extraction
- variable selection
- network model
- input space
- network architecture
- support vector machine svm
- manifold learning
- pattern classification
- parameter space
- computer networks
- unsupervised learning