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The kernelized fuzzy c-means algorithm uses kernel methods to improve the clustering performance of ..
cancer is the&n..
We report on the successful application of feature selection methods to a classification problem in ..
With the emergence of huge volumes of highresolution
remote sensing images produced by all sorts o..
local variance of image intensity is a typical measure of image smoothness. It
has been extens..
the MR technique is becoming more popular
due to its non-invasive principle, the imaging of ..
The choice of features greatly influences the
performance of a tissue classification system. Despi..
Food recognition is a
key component in evaluation of everyday food intakes, and its challenge is du..
Biometric recognition of newborn babies is an
opportunity for the realization of several useful ap..
Our objective is to overcome the limitations of high dimensional sequence data by introducing a stat..
We propose to use maximal entropy random walk on a
graph for tampering localization in digital ima..
The explosion of digital photos has posed a
significant challenge to photo storage and transmissio..
Automated tissue characterization is one of the most
crucial components of a computer aided ..
Fungal diseases not only influence the economic importance of the plants and its products but also a..
As the unique identification of a vehicle, license
plate is a key clue to uncover over-speed vehic..