This paper describes the implementation of a Euclidean squared classifier with a charge based synaptic matrix and discriminator, based on a previously implemented Hamming classifier. The discriminator circuit is a generalized n-port version of the two-port differential charge-sensing amplifier that is conventionally used in DRAM’s for bitline sensing. Both the quantifier and discriminator are i...

Biometric systems is the individual recognition technologies using body parts or human behavior. Fingerprints and palmprint, each instance based on the body's biometrics and human behavior. Individual recognition system is a system for automatically recognizing a person's identity by using computer technology. The system will search for and match a person's identity with a reference database th...

In this paper, we explore automated typeface generation through image style transfer which has shown great promise in natural image generation. Existing style transfer methods for natural images generally assume that the source and target images share similar high-frequency features. However, this assumption is no longer true in typeface transformation. Inspired by the recent advancement in Gen...

Nonlinear electromagnetic inverse scattering is an imaging technique with quantitative reconstruction and high resolution. Compared conventional tomography, it takes into account the more realistic interaction between internal structure of scene waves. However, there are still open issues challenges due to its inherent strong non-linearity, ill-posedness computational cost. To overcome these sh...

Several dihedral angles prediction methods were developed for protein structure prediction and their other applications. However, distribution of predicted angles would not be similar to that of real angles. To address this we employed generative adversarial networks (GAN) which showed promising results in image generation tasks. Generative adversarial networks are composed of two adversarially...

Recently, remarkable advances have been achieved in 3D human pose estimation from monocular images because of the powerful Deep Convolutional Neural Networks (DCNNs). Despite their success on large-scale datasets collected in the constrained lab environment, it is difficult to obtain the 3D pose annotations for in-the-wild images. Therefore, 3D human pose estimation in the wild is still a chall...

Correct recognition of transfer RNAs (tRNAs) by aminoacyl-tRNA synthetases (aaRS) is crucial to the maintenance of translational fidelity. The discriminator base A73 in human tRNALeuis critical for its specific recognition by the aaRS. Exchanging A73 for G abolishes leucine acceptance and converts it into a serine acceptor in vitro . Two RNA microhelices of 24 nt length that correspond to the t...

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 ...

BACKGROUND Accurate, rapid detection of atrial tachyarrhythmias has important implications in the use of implantable devices for treatment of cardiac arrhythmia. Currently available detection algorithms for atrial tachyarrhythmias, which use the single-index method, have limited sensitivity and specificity. METHODS AND RESULTS In this study, we evaluated the performance of a new Bayesian disc...

In gene expression data analysis, discriminator genes are importantly informative genes for further research. Recently, a great deal of research has focused on the challenging task of identifying these informative genes from microarray data. However, the sizes of sample classes in microarray data are often unbalanced. The unbalance of samples has not been explicitly and correctly considered by ...