The construction of faithful system models for quantitative analysis, e.g., performance evaluation, is challenging due to the inherent systems’ complexity and unknown operating conditions. To overcome such difficulties, we are interested in the automated construction of system models by learning from actual execution traces. We focus on the timing aspects of systems that are assumed to be of st...

Benchmarking approaches for ontology merging is challenging and has received little attention so far. A key problem is that there is in general no single best solution for a merge task and that merging may either be performed symmetrically or asymmetrically. As a first step to evaluate the quality of ontology merging solutions we propose the use of general metrics such as the relative coverage ...

In our study, we show a multiwavelength view of ACT-CL J0019.6+0336 (which hosts radio halo), to investigate the cluster dynamics, morphology, and ICM. We use combination XMM-Newton images, Dark Energy Survey (DES) imaging photometry, SDSS spectroscopic information, 1.16 GHz MeerKAT data study properties. Various X-ray optical morphology parameters are calculated level disturbance. find disturb...

In this paper, we present an efficient region-based video coding scheme. The region partioning is optimized according to a rate-distortion criterion in order to achieve constant bitrate or constant quality. This optimization is led through a labeling for each image of an initial segmentation map using regions merging, regions’ label relaxation and quantization variation. Results obtained show t...

We study hierarchical segmentations that are optimal in the sense of minimal spanning forests of the original image. We introduce a region-merging operation called uprooting, and we prove that optimal hierarchical segmentations are equivalent to the ones given by uprooting a watershed-cut based segmentation. Based on those theoretical results, we propose an efficient algorithm to compute such h...

I N A REPORT ISSUED IN JANUARY 1988, THE NATIONAL Research Council (NRC) Committee on the Mapping and Sequencing of the Human Genome, on which the present authors served, recommended a staged mapping and sequencing project with early emphases on physical mapping of human DNA, mapping and sequencing of the genomes of model organisms, and the development of sequencing technology (1). As the Commi...

Land-use mapping is critical for global change research. In Central Arizona, U.S.A., the spatial distribution of land use is important for sustainable land management decisions. The objective of this study was to create a land-use map that serves as a model for the city of Maricopa, an expanding urban region in the Sun Corridor of Arizona. We use object-based image analysis to map six land-use ...

This paper presents a hierarchical clustering algorithm for crop type classification problem using multi-spectral satellite image. In unsupervised techniques, the automatic generation of clusters and its centers is not exploited to their full potential. Hence, a hierarchical clustering algorithm is proposed which uses splitting and merging techniques. Initially, the splitting method is used to ...

A novel texture-based segmentation algorithm for color images is proposed in this paper. Many powerful color image segmentation algorithms such as J-Segmentation (JSEG)suffer from over segmentation. Analysis of undesirable results from JSEG segmentation has led to the development of an improved JSEG method called improved contrast JSEG, or IC-JSEG. The proposed method first constructs a contras...