Only the lower triangular portions of the pattern dissimilarity matrices were used, since the diagonal of a correlation matrix is uninformative, and the upper triangular portion is redundant with the lower. These average pattern similarity maps were then spatially smoothed with a 6 mm FWHM ...
From the MiF-based information matrix, a machine learning model can accurately obtain a scalar parameter that specifies the degree to which each voxel in (the MRI image of) the brain is activated by each word or each principal component of the intermediate semantic features. Furthermore, ...
Synthesis and simulation of digital images by tree-indexed Markov chains Quad trees and dyadic trees are hierarchical data structures that are used to represent spatial data or images. With a collection of images, a tree-indexed... FM Dekking,C Kraaikamp,AM Elfeki,... - Digital Image Recove...
However, the neighbourhood matrix (based on the graph) determines the spatial correlation structure in the data, and hence should be estimated as a parameter in the model. Many approaches ignore this estimation problem by specifying a single value for it, with one common specification being based...
The Stixel world is defined as a segmentation of image columns into stick-like super-pixels with class labels and a 3D planar depth model c.f. Fig. 3. We consider three struc- tural classes: object, ground and sky. These classes have properties that are derived from an underlying 3D ...
Full size image 3.2 Prior Term The prior captures knowledge about the segmentation independent from measurements, in this section we define the priors used for this model, they are based on Cordts et al. (2017). The Markov property is used so that the prior reduces to pair-wise relations be...
A long-standing view of Indian biodiversity is that while rich in species, there are few endemics or in-situ radiations within the subcontinent. One exception is the Western Ghats biodiversity hotspot, an isolated mountain range with many endemic species
Ji, T., et al., “A Method for Chinese Syllables Recognition based upon Sub-syllable Hidden Markov Model,” 1994 International Symposium on Speech, Image Processing and Neural Networks, Apr. 13-16, 1994, Hong Kong, 4 pages. Jones, J., “Speech Recognition for Cyclone,” Apple Computer,...
Where, a and b represent an FSF and a proteome respectively; g ab describes the g value of the FSF a in the proteome b; g max is the maximum g value in the matrix; Round function normalizes the g ab value taking into account the g max and standardizes the values to a 0–23 scal...
Where, a and b represent an FSF and a proteome respectively; g ab describes the g value of the FSF a in the proteome b; g max is the maximum g value in the matrix; Round function normalizes the g ab value taking into account the g max and standardizes the values to a 0–23 scal...