Comparison of seismicity declustering methods using a probabilistic measure of clustering

2013 ◽  
Vol 17 (3) ◽  
pp. 1041-1061 ◽  
Author(s):  
Abdelhak Talbi ◽  
Kazuyoshi Nanjo ◽  
Kenji Satake ◽  
Jiancang Zhuang ◽  
Mohamed Hamdache
2013 ◽  
Vol 694-697 ◽  
pp. 2856-2859
Author(s):  
Mei Yun Wang ◽  
Chao Wang ◽  
Da Zeng Tian

The variable precision probabilistic rough set model is based on equivalent relation and probabilistic measure. However, the requirements of equivalent relation and probabilistic measure are too strict to satisfy in some practical applications. In order to solve the above problem, a variable precision rough set model based on covering relation and uncertainty measure is proposed. Moreover, the upper and lower approximation operators of the proposed model are given, while the properties of the operators are discussed.


2001 ◽  
Vol 16 (1) ◽  
pp. 1-11 ◽  
Author(s):  
James L. Beck ◽  
Siu-Kui Au ◽  
Michael W. Vanik

Author(s):  
Shivkaran Ravidas ◽  
M. A. Ansari

<span lang="EN-US">In the recent past, convolutional neural networks (CNNs) have seen resurgence and have performed extremely well on vision tasks.  Visually the model resembles a series of layers each of which is processed by a function to form a next layer. It is argued that CNN first models the low level features such as edges and joints and then expresses higher level features as a composition of these low level features. The aim of this paper is to detect multi-view faces using deep convolutional neural network (DCNN). Implementation, detection and retrieval of faces will be obtained with the help of direct visual matching technology. Further, the probabilistic measure of the similarity of the face images will be done using Bayesian analysis. Experiment detects faces with ±90 degree out of plane rotations. Fine tuned AlexNet is used to detect pose invariant faces. For this work, we extracted examples of training from AFLW (Annotated Facial Landmarks in the Wild) dataset that involve 21K images with 24K annotations of the face.</span>


Author(s):  
Ana Marcela Herrera-Navarro ◽  
Hugo Jiménez-Hernández ◽  
Iván Ramón Terol-Villalobos

2019 ◽  
Vol 35 (3) ◽  
pp. 1465-1483 ◽  
Author(s):  
Iunio Iervolino ◽  
Massimiliano Giorgio ◽  
Pasquale Cito

Extended recording coverage of contemporary seismic events allows a comparison of observed seismic actions with their counterparts used for design. Said comparison shows actions systematically exceeding design spectra. This paper discusses: (1) that considered exceedances can be anticipated by the probabilistic seismic hazard on the basis of which design actions are determined, (2) exceedances of elastic design actions are expected for earthquakes occurring close to the site even if their magnitude is far from the maximum magnitude considered in the hazard assessment, and (3) design spectra are likely to be exceeded in epicentral areas of earthquakes that occur frequently in the region where the code is enforced, but rarely occur close to the site under consideration. In fact, code-mandated protection against these earthquakes is factually warranted by the rarity with which they are expected to occur near the structure and other safety margins implicit to earthquake-resistant design. All these issues, addressed with reference to Italy, are discussed with the intent not to criticize the way spectra are determined, but rather to raise awareness and give a probabilistic measure about what to factually expect from state-of-the-art design at a national level.


Analysis ◽  
2000 ◽  
Vol 60 (4) ◽  
pp. 356-359 ◽  
Author(s):  
K. Akiba

2019 ◽  
Vol 2019 ◽  
pp. 1-16
Author(s):  
Han Wang ◽  
Quan Shi ◽  
Zhihuo Xu ◽  
Ming Wei ◽  
Hanseok Ko

For a fixed-position camera, the intensity changes of an image pixel are often caused by object movement or illumination change. This paper focuses on such a problem: given two adjacent local image patches, how can the causes of intensity change be determined? A bipolar log-intensity-variance histogram is proposed to describe the intensity variations on the chaos phase plot subspace. This is combined with two sigmoid functions to construct a probabilistic measure function. Experimental results show that the proposed measurements are more effective and robust than conventional methods to the cause of variation in image intensity.


1972 ◽  
Vol 86 (1) ◽  
pp. 45-54 ◽  
Author(s):  
Robert E. Witt ◽  
Subrata K. Sen

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