<span lang="EN-US">Machine orientation learning had demonstrated that deep (DL)-convolutional neural networks (CNNs) were robust image classifiers with significant accuracy. Although to been functional, DL scope classification as tight, well-defined possible uses a 2-class object, for instance, cats and dogs. The faced many challenges, e.g., variation factors, the intra-class variation. T...

background: this article is a report of psychometric testing ofthe farsi version of resources and support for chronic illnessself‑management (rssm) scale.methods: in this cross‑sectional study, a convenience sampleof 160 patients with type 2 diabetes, registered with the charityfoundation for special diseases’ team‑focused diabetes clinic,were recruited (response rate=83.7%; n=134). participant...

This paper proposes an end-to-end deep hashing framework with category mask for fast video retrieval. We train our network in a supervised way by fully exploiting interclass diversity and intra-class identity. Classification loss is optimized to maximize inter-class diversity, while intra-pair is introduced to learn representative intra-class identity. We investigate the binary bits distributio...

Facial recognition systems have their accuracy based on the intra-class variations between two stages in particular, enrollment and identification. These intra-class variations are affected by the lighting conditions with other reasons such as, facial expressions, pose, occlusion, poor sensor quality, and illumination quality. To identify a face or an object with accuracy, all such errors need ...

In this paper, we present an object recognition approach that in addition allows to discover intra-class modalities exhibiting highcorrelated visual information. Unlike to more conventional approaches based on computing multiple specialized classi ers, the proposed approach combines a single classi er, Boosted Random Ferns (BRFs), with probabilistic Latent Semantic Analysis (pLSA) in order to r...

Introduction: Sensory Gating Inventory (SGI) measures behavioral aspects of Sensory Gating (SG). It is a filtering mechanism of brain that prevents irrelevant sensory inputs from entering into higher cortex information processing. It modifies sensitivity to sensory stimuli. Abnormal SG leads to overloading of information into cortex and brain dysfunction. Electrophysiological techniques cannot ...

A mixture model of Gaussian copulas is proposed to cluster mixed data. This approach allows to straightforwardly define simple multivariate intra-class dependency models while preserving classical distributions for the one-dimensional margins of each component in order to facilitate the model interpretation. Moreover, the intra-class dependencies are taken into account by the Gaussian copulas w...

the present study was designed to explore the anti-inflammatory effect of fluvoxamine, as a selective serotonin reuptake inhibitor (ssri) anti-depressant, on carrageenan-induced paw edema in more details. at first, fluvoxamine was administered intra-peritoneally (2.5, 12.5, 25 and 50 mg kg-1) 30 min before the subplantar injection of carrageenan. fluvoxamine was also injected intra-peritoneally...