Object recognition in ocean imagery using feature selection and compressive sensing.
Katie RaineyJohn StastnyPublished in: AIPR (2011)
Keyphrases
- compressive sensing
- object recognition
- feature selection
- image representation
- computer vision
- image recovery
- random projections
- compressive sampling
- sparse representation
- signal reconstruction
- unsupervised learning
- signal processing
- text categorization
- machine learning
- feature set
- image features
- natural images
- dimensionality reduction
- distributed source coding
- high resolution
- support vector
- dimension reduction
- structured sparsity
- model selection
- image data
- image processing
- high dimensionality
- multi task
- data sets
- image segmentation
- feature extraction
- similarity measure
- feature space
- text classification
- image classification
- information retrieval systems