Tensor factorizations with nonnegative constraints have found application in analyzing data from cyber traffic, social networks, and other areas. We consider application data best described as being generated by a Poisson process (e.g., count data), which leads to sparse tensors that can be modeled by sparse factor matrices. In this paper we investigate efficient techniques for computing an app...

Tensor factorizations with nonnegative constraints have found application in analyzing data from cyber traffic, social networks, and other areas. We consider application data best described as being generated by a Poisson process (e.g., count data), which leads to sparse tensors that can be modeled by sparse factor matrices. In this paper we investigate efficient techniques for computing an app...

The methods of multi-DOF actuator orientation detection based on machine vision and magnetic field sensor and neural network based multisensor fusion are presented in this paper. Special grid pattern is printed on the surface of rotor according to the pseudo-random encoder for the camera capturing the image of the rotor. The magnetic field sensors are adopted and properly placed circling the sh...

Spectral unmixing is one of the most important quantitative analysis tasks in hyperspectral data processing. Conventional physics-based models are characterized by clear interpretation. However they may not be suitable for analyzing scenes with unknown complex physical characteristics. Data-driven methods have developed rapidly recent years, particular deep learning because possess superior cap...

BACKGROUND Neospora caninum is a protozoan parasite from phylum apicomplexa and an important agent causing abortion in cattle which produce notable economic loss all around the world. METHODS Dot-Elisa was set up performing checker board procedure and then 178 sera of cattle examined with commercial indirect ELISA and direct agglutination test (DAT) were also evaluated by dot-ELISA afterwards...

This paper summarizes the recent findings of mental rotation studies which use neuroimaging techniques. Though many results differed, almost all the reviewed studies concurred that the superior parietal lobe plays a major role in the process of mental rotation. The possible confounds (including gender differences, analysis methods, experimental paradigms and controls, etc) for the different res...

Automated intelligence analysis was born into a skeptical community dealing with high stakes dilemmas, where often outcomes are measured in loss of human life. The massive amount of data require analysts to be masters of identifying “indicators” intuitively foreshadowing intelligence targets and masters of modeling the indicators in analysis systems. The paper explores the application of graph ...

omotopy analysis method (HAM) is a promising method for handling func-tional equations. Recent publications proved the eectiveness of HAM in solvingwide variety of problems in dierent elds. HAM has a unique property whichmakes it superior to other analytic methods, this property is its ability to con-trol the convergence region of the solution series. In this work, we claried theadvantages and ...

Considering the fact that students have different abilities to understand knowledge imparted by teachers, a multi-granularity distillation mechanism is proposed for transferring more understandable student networks. A self-analyzing module of teacher network designed, which enables learn from teaching patterns. Furthermore, stable excitation scheme robust supervision training. The can be embedd...

Porous layer open tubular (PLOT) columns are traditionally built with particles that adhered to the tubing walls. These have unique selectivity and provide a great alternative when gaseous samples need be separated, but these also been used separate higher boiling point analytes. There many different commercially available stationary phases of PLOT columns, including alumina-based molecular sie...