Providing easy access to updated, accurate and semantically meaningful information about organizations working in the agriculture sector is of primary importance in agricultural in...
Valeria Pesce, Maru Ajit, Gauri Salokhe, Johannes ...
Abstract. Clustering is often considered the most important unsupervised learning problem and several clustering algorithms have been proposed over the years. Many of these algorit...
The rapid progress of wireless communication and embedded micro sensing technologies has made wireless sensor networks possible. Target tracking is an important application of wire...
WenCheng Yang, Zhen Fu, Jung-Hwan Kim, Myong-Soon ...
This paper presents a hybrid 1D motion estimation algorithm which combines pixel-based and region-based approaches that can give depth images from translational video sequences wi...
Multiple sequence alignment is an important and difficult problem in molecular biology and bioinformatics. In this paper, we propose a partitioning approach that significantly impr...