Project the input vector X into the H subspace, yielding a projection vector p of 11 positions: p=X×H. .
Project the input vector X into the H subspace, yielding a projection vector p of 11 positions: p=X×H.
In order to derive a regular systolic array architecture with minimum number of nodes, we employ the linear projection approach for processor assignment following the methodology developed in [21, 22], that is, the nodes of the DG in a certain straight line are projected onto the corresponding PEs in the processor array represented by the corresponding projection vector.
The main contribution of this novel method is the automatic computation of the projection vector.
The two approaches make use of the Medial Axis Transformation and Projection Vector.
The projection vector approach performs well in obtaining the centromere location in the chromosome with an efficiency of 90%.
We propose in this paper, first, a new algorithm based on the use of the norm projection vector as the best guarantee against the angle of projection since its use is independent of the chosen convolution masks.
The presented method uses a simple, robust, and efficient algorithm: least-squares projection (LSP), which projects points onto the point cloud in a least-squares sense without any specification of the projection vector.
Azariadis and Sapidis [Azariadis PN, Sapidis NS. Drawing curves onto a cloud of points for point-based modelling. Computer-Aided Design 2005 37(1):109–22] introduced a novel method of point directed projection (DP) onto a point cloud along an associated projection vector.
The vertical projection vector needs to be smoothen.
