We present a new method, which allows successful application of watershed transformation for images containing small objects. The method can be divided into two stages. During the...
Sparse Orthonormal Transforms (SOT) has recently been proposed as a data compression method that can achieve sparser representations in transform domain. Given initial conditions,...
This paper presents a novel method for medical image registration.
The global transformation is obtained by composing affine transformations,
which are recovered locally from giv...
Abstract. During the last two decades, monads have become an indispensable tool for structuring functional programs with computational effects. In this setting, the mathematical n...
For effective training of acoustic and language models for spontaneous speech such as meetings, it is significant to exploit the texts available in a large scale, which may not b...