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Texture classification using an invariant texture representation and a tree matching kernel
(National Institute of Development Administration, 2010)
; The real world is rich in many textures, which can be regarded as the visual
appearance of surfaces. They may be perceived as being smooth or rough, coarse or
fine, homogeneous or non-homogeneous, etc. Moreover, textures ...
Probability density estimation using new kernel functions
(National Institute of Development Administration, 2010)
; This dissertation propose two new kernel functions to estimate a density unction with small biases and errors .The errors of the estimats are measured using mean squared error (MSEf (f(x,X ))), mean integrated squared error ...