Social media have caused information overload for users who normally have limited
information processing capability, thus making the issue of task-information fit become …

This paper studies the cooperative training of two generative models for image modeling
and synthesis. Both models are parametrized by convolutional neural networks (ConvNets) …

Medical surgical robot is a fusion of medical image information matching fusion technology
and robotic trajectory control technology. The medical image information matching fusion is …

Complexity measures, defined as measures of irregularity over time scales, are the subject
of a growing number of studies as the information they reveal can find utility in a large field of …

Purpose Digital libraries and social media are two sources of online information with
different characteristics. The purpose of this paper is to integrate self-efficacy into the …

To improve product quality and realize accurate monitoring of cutting tool wear in the cutting
process, the monitoring of cutting tool wear is presented based on the Multi-kernel Gaussian …

To simultaneously predict tool wear and surface roughness accurately during machining,
this paper develops a multi-target predictive model that leverages a novel two-step feature …

Here we present a parametric model for dynamic textures. The model is based on
spatiotemporal summary statistics computed from the feature representations of a …

Image processing has played a relevant role in various industries, where the main challenge
is to extract specific features from images. Specifically, texture characterizes the …

In the practical oilfield production, it has great significance to realize timely and accurate
measurement of the moisture content of crude oil. However, there are some drawbacks in …