Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
Markov Random Field Modeling in Image Analysis
Markov Random Field Modeling in Image Analysis
The kernel recursive least-squares algorithm
IEEE Transactions on Signal Processing
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The article describes universal model for creating algorithms for calculating textural image features. The proposed models are used for images that are realizations of Markov Random Field. Experimental classification results are shown for different images sets.