One-class classification (OCC) needs samples from only a single class to train the classifier. Recently, an auto-associative kernel extreme learning machine was developed for OCC task. This paper introduces novel extension of this classifier by embedding minimum variance information within its architecture and is referred as VAAKELM. The forces network output weights focus in regions low reduce...

the present research was an attempt to provide new evidence for the efficacy of task-based techniques to speaking proficiency development. the primary focus of the study was to investigate the effects of task-based techniques on speaking proficiency development. in the second place, it tried to scrutinize the effect of gender on speaking proficiency development under task-based principles of la...

Computer vision tasks are often expected to be executed on compressed images. Classical image compression standards like JPEG 2000 widely used. However, they do not account for the specific end-task at hand. Motivated by works recurrent neural network (RNN)-based and three-dimensional (3D) reconstruction, we propose unified architectures solve both jointly. These joint models provide tailored t...

Reconstructing a pore size distribution of porous materials is valuable for applications in materials sciences, oil well logging, biology, and medicine. The major drawback of NMR based methods is an intrinsic limitation in the reconstruction which arises from the ill-conditioned nature of the pore size distribution problem. Consequently, while estimation of the average pore size was already dem...

OBJECTIVE To explore the diagnostic accuracy of three-dimensional CT reconstruction and cephalometry in lateral skull base tumors. PATIENTS AND METHODS Fifty-eight patients with lateral skull base tumors were randomly divided into control group (n = 29, examined with conventional diagnostic technique) or study group (n = 29, examined with three-dimensional CT reconstruction and cephalometry)....

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Record linking is the task of detecting records in several databases that refer to the same entity. This task aims at exploring the relationship between entities, which normally lack common identifiers in heterogeneous datasets. When entities contain multiple relational records, linking them across datasets can be more accurate by treating the records as groups, which leads to group linking met...

       Background: Carpal tunnel syndrome is the most common focal mono-neuropathy. A study was designed to compare the effects of traditional open carpal tunnel release with median neurolysis and Z-plasty reconstruction of the transverse carpal ligament on post-operative hand pain and hand function in patients with idiopathic carpal tunnel syndrome.   Methods: Fifty-two patients with idiopathi...