Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
A systematic review on reinforcement learning-based robotics within the last decade
Robotics is one of the many tools that is making a substantial difference as the world is
experiencing the fourth industrial revolution. To ease control over this engineering marvel …
experiencing the fourth industrial revolution. To ease control over this engineering marvel …
State-of-the-art in visual attention modeling
Modeling visual attention-particularly stimulus-driven, saliency-based attention-has been a
very active research area over the past 25 years. Many different models of attention are now …
very active research area over the past 25 years. Many different models of attention are now …
Quantitative analysis of human-model agreement in visual saliency modeling: A comparative study
Visual attention is a process that enables biological and machine vision systems to select
the most relevant regions from a scene. Relevance is determined by two components: 1) top …
the most relevant regions from a scene. Relevance is determined by two components: 1) top …
The effects of visual skills training on cognitive and executive functions in stroke patients: a systematic review with meta-analysis
The visual system and associated skills are of particular importance in stroke rehabilitation.
The process of neuroplasticity involved in restoring cognitive function during this period is …
The process of neuroplasticity involved in restoring cognitive function during this period is …
The influences of cognitive abilities on self-regulated learning in online learning environment among Chinese university students with learning disabilities
Students with learning disabilities meet difficulties in cognitive abilities that are likely to affect
their learning, especially online learning. Online learning usually lacks efficient face-to-face …
their learning, especially online learning. Online learning usually lacks efficient face-to-face …
Adaptive object tracking by learning background context
One challenge when tracking objects is to adapt the object representation depending on the
scene context to account for changes in illumination, coloring, scaling, etc. Here, we present …
scene context to account for changes in illumination, coloring, scaling, etc. Here, we present …
Kinesthetic teaching and attentional supervision of structured tasks in human–robot interaction
We present a framework that allows a robot manipulator to learn how to execute structured
tasks from human demonstrations. The proposed system combines physical human–robot …
tasks from human demonstrations. The proposed system combines physical human–robot …
A saliency map based on sampling an image into random rectangular regions of interest
In this article we propose a novel approach to compute an image saliency map based on
computing local saliencies over random rectangular regions of interest. Unlike many of the …
computing local saliencies over random rectangular regions of interest. Unlike many of the …
Glauber dynamics on trees and hyperbolic graphs
We study continuous time Glauber dynamics for random configurations with local constraints
(eg proper coloring, Ising and Potts models) on finite graphs with n vertices and of bounded …
(eg proper coloring, Ising and Potts models) on finite graphs with n vertices and of bounded …
Computational models: Bottom-up and top-down aspects
Computational models of visual attention have become popular over the past decade, we
believe primarily for two reasons: First, models make testable predictions that can be …
believe primarily for two reasons: First, models make testable predictions that can be …