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The current global image descriptors are mostly obtained by using the local image features aggregation, which fail to take full account of the details of the image, resulting in the loss of the semant...
In recent decades, many spectral vegetation indices (SVIs) have been proposed to estimate the leaf nitrogen concentration (LNC) of crops. However, most of these indices were based on the field hypersp...
This paper presents a new dimensionally-reduced linear image space that allows a number of recent image manipulation techniques to be performed efficiently and robustly. The basis vectors spanning t...
This work concerns the development of a highly accurate and ecient meshless ow solver for inviscid ow in two dimensions. Novel aspects of this work include the application of mesh-based reconstructio...
Aerial imagery and LIDAR points are two important data sources for building reconstruction in a geospatial area. Aerial imagery implies building contours with planimetric features; LIDAR data explicit...
We consider the edge-based compartmental models for epidemic spread developed in [5]. We show conditions under which simpler models may be substituted for more detailed models, and in so doing we de n...
The primary tool for predicting infectious disease spread and intervention e ectiveness is the mass action Susceptible-Infected-Recovered model of Kermack and McKendrick . Its usefulness derives large...
We consider the edge-based compartmental models for infectious disease spread introduced in .These models allow us to consider standard SIR diseases spreading in random populations. In this paper we s...
Based on an error estimate in terms of element edge vectors on arbitrary unstruc-tured simplex meshes, we propose a new edge-based anisotropic mesh refinement algorithm. As the mesh adaptation indicat...
Objective: To evaluate the validity and inter- and intraexaminer reliability when on-screen landmarks are digitized manually or when these are computer-assisted by means of a new cephalometric sof...
Because of its ability to preserve signal edges while filtering out impulsive noises, median filtering is widely used in signal processing applications, e.g. deinterlacing. An edgebased median filter...

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