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Chapter and Conference Paper
Active Learning Classifier for Streaming Data
This work reports the research on active learning approach applied to the data stream classification. The chosen characteristics of the proposed frameworks were evaluated on the basis of the wide range of comp...
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Chapter and Conference Paper
Blurred Labeling Segmentation Algorithm for Hyperspectral Images
This work is focusing on the hyperspectral imaging classification, which is nowadays a focus of intense research. The hyperspectral imaging is widely used in agriculture, mineralogy, or food processing to enum...
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Chapter and Conference Paper
Ensemble Classifier Systems for Headache Diagnosis
Headache, medically known as cephalalgia, may have a wide range of symptoms and its types may be related and mixed. Its proper diagnosis is difficult and automatic diagnosis is usually rather imprecise, theref...
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Chapter and Conference Paper
Hyperspectral Image Analysis Based on Quad Tree Decomposition
Hyperspectral image analysis is among one of the current trends in computer vision and machine learning. Due to the high dimensionality, large number of classes, presence of noise and complex structure, this i...
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Chapter and Conference Paper
Hyperspectral Image Analysis Based on Color Channels and Ensemble Classifier
Hyperspectral image analysis is a dynamically develo** branch of computer vision due to the numerous practical applications and high complexity of data. There exist a need for introducing novel machine learn...