Non-negative pre-image in machine learning for pattern recognition.
Maya KallasPaul HoneineCédric RichardClovis FrancisHassan AmoudPublished in: EUSIPCO (2011)
Keyphrases
- pattern recognition
- machine learning
- image analysis
- input image
- moment invariants
- image data
- image features
- test images
- image pixels
- lighting conditions
- computer vision
- low level
- single image
- image classification
- image content
- vector field
- template matching
- positive and negative
- image processing
- grey level
- multiscale
- image segmentation
- machine learning methods
- neural network
- hough transform
- segmentation method
- feature extraction
- edge detection
- natural language processing
- learning algorithm
- active learning
- high resolution
- image retrieval
- gray level
- image representation
- matching algorithm
- image matching
- supervised learning
- support vector machine
- image collections
- multiresolution
- decision trees