The methodology presented in the first edition was considered established practice or
settled science in the medical image analysis community in 2010–2011. Progress in this …

Many supervised and unsupervised learning algorithms are very sensitive to the choice of
an appropriate distance metric. While classification tasks can make use of class label …

Many computer vision and pattern recognition algorithms are very sensitive to the choice of
an appropriate distance metric. Some recent research sought to address a variant of the …

Vocal folds oscillation crucially influences all the basic qualities of voice, such as pitch and
loudness, as well as the spectrum. Stroboscopy provides the standard view of the larynx …

These last years, deformable models raised much interest and found various applications in
the field of computer vision. They provide an extensible framework to reconstruct shapes …

Modern livestock farming follows a trend to higher automation and monitoring standards.
Novel systems for a health monitoring of animals like dairy cows are under development …

The Leaf is the important part of the plant which contains important information which will be
playing a role in the identification and classification of plants. The identification of plants can …

Clinical assessment of skeletal age is a frequent, but yet difficult and time-consuming task.
Automatic methods which estimate the skeletal age from a hand radiogram are currently …

The performance of many supervised and unsupervised learning algorithms is very sensitive
to the choice of an appropriate distance metric. Previous work in metric learning and …

Gielis curves (GC) can represent a wide range of shapes and patterns ranging from star
shapes to symmetric and asymmetric polygons, and even self intersecting curves. Such …