When measurements of values that are less than the limit of detection are reported as not detected, the data are referred to as censored. The non-recording of values below the limit of detection is common in soil science research although modelling data affected by censoring can be problematic. This paper develops and tests a modified version of Spatial Simulated Annealing, called Simulated Ann...

Base class for Contrast Limited Adaptive Histogram Equalization. Equalizes the histogram of a grayscale image using Contrast Limited Adaptive Histogram. Hello all. I would like to implement an extension of the well-known CLAHE histogram equalization method in Matlab. Currently, Matlab provides routines. Adaptive Histogram Equalization. Contrast Limited Adaptive Histogram Equalization. Histogram...

We present PRISMA’s Video Copy Detection system (P-VCD). The system is based on visual-only global descriptors, weighted combinations of distances, a pivotbased index structure, and a novel approximated search and voting algorithm for copy localization. We submitted four Runs to TRECVID 2010 CCD task: PRISMA.m.balanced.ehdNgryhst: a combination of edge histogram and gray histogram. PRISMA.m.bal...

This article presents an implementation of the FTC (Fine-to-Coarse) algorithm for histogram segmentation, presented by Delon et al. in 2007. uses a non-parametric contrario approach to segment 1D into its meaningful modes. We describe also how method may be applied hue, saturation and intensity histograms color images order automatically extract their more representative colors, so-called palet...

By utilizing previously known areas in an image, intra-prediction techniques can find a good estimate of the current block. This allows the encoder to store only the error between the original block and the generated estimate, thus leading to an improvement in coding efficiency. Standards such as AVC and HEVC describe expert-designed prediction modes operating in certain angular orientations al...

Prediction uncertainty has rarely been integrated into traditional soft sensors in industrial processes. In this work, a novel auto-switch probabilistic soft sensor modeling method is proposed for online quality prediction of a whole industrial multi-grade process with several steady-state grades and transitional modes. Several single Gaussian process regression (GPR) models are first construct...

UNLABELLED Cardiac resynchronization therapy (CRT) is now a well-recognized therapeutic option for patients with end-stage heart failure. However, not all patients respond to CRT, and, therefore, preimplantation identification of responders is desirable. The aim of the present study was to investigate whether the degree of left ventricular (LV) dyssynchrony, as assessed with phase analysis from...

Video compression algorithms operate by removing temporal and spatial redundancies in a video encoder conforming to standards such as H.264. Intra Prediction modes in H.264 improve the compression, exploiting spatial redundancy. In this work, we have implemented nine modes of intraprediction in Matlab as specified in the standard. This paper presents the algorithm for all the nine modes of intr...

In this review, we introduce our work in the field of materials informatics for prediction ionic conduction properties inorganic crystalline solids. Rational material development based on information-derived conductivity listed crystal structure database is attractive to reduce processing time and labor costs. For purpose, general descriptors a sufficient volume datasets are required. As an exa...

A number of air traffic management decision support tools (DST) are being developed to help air traffic managers and controllers improve capacity, efficiency, and safety in the National Airspace System. Although DST functionality may vary widely, trajectory prediction algorithms can be found at the core of most DST. A methodology is presented for the automated statistical analysis of trajectory...