Objective. This paper proposes a novel simultaneous and proportional multiple degree of
freedom (DOF) myoelectric control method for active prostheses. Approach. The approach is …

Performing clustering analysis is one of the important research topics in cancer discovery
using gene expression profiles, which is crucial in facilitating the successful diagnosis and …

As the network bandwidth has grown rapidly, it has become common to share a large
number of still images via the Internet by means of batch transmission. Unfortunately, most …

3D Surface Reconstruction: Multi-Scale Hierarchical Approaches presents methods to
model 3D objects in an incremental way so as to capture more finer details at each step. The …

Class discovery from gene expression data is an important task for cancer diagnosis. In this
paper, we present a new framework for class discovery. The new framework integrates the …

In this paper, a novel real-time online network model is presented. It is derived from the
hierarchical radial basis function (HRBF) model and it grows by automatically adding units at …

Given a dataset P represented by an n× m matrix (where n is the number of data points and
m is the number of attributes), we study the effect of applying transformations to P and how …

The existence of multiple solutions in clustering, and in hierarchical clustering in particular,
is often ignored in practical applications. However, this is a non-trivial problem, as different …

The simplification of 3D laser scanning point cloud is an important step of surface
reconstruction and volume estimation of bulk grain in granary. This study presented an …

The method of three dimensional mesh reconstruction is used to supplementing the 3D
reconstruction or 3D scanning method, which only provide with point cloud in 3D model …