Clustering is an old research topic in data mining and machine learning communities. Most of the traditional clustering methods can be categorized local or global ones. In this pa...
Regularity extraction is an important step in the design ow of datapath-dominated circuits. This paper outlines a new method that automatically extracts regular structures from th...
Abstract. Scatterer detection in medical ultrasound imaging can be formulated as an inverse problem concerning a linear system model based on point scatterers. The applicability of...
In this work a marker-controlled and regularized watershed segmentation is proposed. Only a few previous studies address the task of regularizing the obtained watershed lines from ...
Xue-Cheng Tai, Erlend Hodneland, Joachim Weickert,...
This paper presents a comparative study of five parameter estimation algorithms on four NLP tasks. Three of the five algorithms are well-known in the computational linguistics com...
Jianfeng Gao, Galen Andrew, Mark Johnson, Kristina...