Texture descriptors based on co-occurrence matrices
Computer Vision, Graphics, and Image Processing
A review of recent texture segmentation and feature extraction techniques
CVGIP: Image Understanding
Multidimensional lines I: representation
SIAM Journal on Applied Mathematics
Pattern recognition and image analysis
Pattern recognition and image analysis
The visualization toolkit (2nd ed.): an object-oriented approach to 3D graphics
The visualization toolkit (2nd ed.): an object-oriented approach to 3D graphics
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Machine Learning
Neural Networks
Advanced Methods in Neural Computing
Advanced Methods in Neural Computing
Image Processing, Analysis, and Machine Vision
Image Processing, Analysis, and Machine Vision
Multi-agent approach for visualisation of fuzzy systems
ICCS'03 Proceedings of the 2003 international conference on Computational science: PartIII
Trajectory mapping for landmine detection training
ICCS'03 Proceedings of the 2003 international conference on Computational science: PartIII
Extended fractal analysis for texture classification and segmentation
IEEE Transactions on Image Processing
Ambient Intelligence in Everyday Life
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People can usually sense troubles in a car from noises, vibrations, or smells. An experienced driver can even tell where the problem is. We call this kind of skill ‘Ambient Diagnostics'. Ambient Diagnostics is an emerging field that is aimed at detecting abnormities from seemly disconnected ambient data that we take for granted. For example, the human body is a rich ambient data source: temperature, pulses, gestures, sound, forces, moisture, et al. Also, many electronic devices provide pervasive ambient data streams, such as mobile phones, surveillance cameras, satellite images, personal data assistants, wireless networks and so on.