Generative adversarial networks (GANs, Goodfellow et al., 2014) are a learning framework that rely on training a discriminator to estimate a measure of difference between a target and generated distributions. GANs, as normally formulated, rely on the generated samples being completely differentiable w.r.t. the generative parameters, and thus do not work for discrete data. We introduce a method ...

In this dissertation we develop and apply models of shape and models of image intensities (appearance models) in object-based image processing tasks. We make contributions in three areas of interest: constructing novel flexible models of shape and of image intensities, using these models to extract object boundaries from images, and analyzing differences between groups of shapes from given, ext...

An evident inequality between the enthalpy of crystallization of amorphous selenium, DHx , and the enthalpy difference between the undercooled liquid and the conventional polycrystalline selenium, DHl→c, was observed, which is inconsistent with the widely accepted idea that the two enthalpies should be equal. The inequality between the two enthalpies is attributed to the excess enthalpy of the ...

Class imbalance ubiquitously exists in real life, which has attracted much interest from various domains. Direct learning from imbalanced dataset may pose unsatisfying results overfocusing on the accuracy of identification and deriving a suboptimal model. Various methodologies have been developed in tackling this problem including sampling, cost-sensitive, and other hybrid ones. However, the sa...

In this paper, we present a fully automatic Delaunay based sculpting algorithm for approximating the shape of a finite set of points S in R2. The algorithm generates a relaxed Gabriel graph (RGG) that consists of most of the Gabriel edges and a few non-Gabriel edges induced by the Delaunay triangulation. Holes are characterized through a structural pattern called as body-arm formed by the Delau...

Background: The American foulbrood disease (AFB), caused by Paenibacillus larvae subsp. larvae, is one of the main plagues affecting honey bee (Apis mellifera L.) colonies, and it has a high negative impact on beekeepers worldwide. OBJECTIVES: The aim of this research was to describe the evidence of Paenibacillus larvae larvae contamination of honey bee colonies, in the East Azerbaijan Province...

Sending compressed video data in error-prone environments (like the Internet and wireless networks) might cause data degradation. Error concealment techniques try to conceal the received data in the decoder side. In this paper, an adaptive boundary matching algorithm is presented for recovering the damaged motion vectors (MVs). This algorithm uses an outer boundary matching or directional tempo...

Synthetic aperture radar (SAR) target discrimination is an important stage that distinguishes targets from clutters in the automatic recognition field. However, complex SAR scenes, performance of some traditional discriminators will degrade. As effective tool for one-class classification (OCC), max-margin classifier has attracted much attention discrimination, as it can effectively reduce impac...

The major objective of the present study was to investigate creep fracture process a copper tricrystal having 〈110〉-tilt Σ3, 3, 9 grain boundaries. Creep tests at 0.81 TM (TM: melting temperature on absolute scale) under 4 MPa tensile stress were carried out for three samples prepared from same tricrystal. Grain-boundary sliding occurred along only Σ9 boundary, and triple junction boundaries co...