ELM-HTM guided bio-inspired unsupervised learning for anomalous trajectory classification

Artificial intelligent systems often model the solutions of typical machine learning problems, inspired by biological processes, because of the biological system is faster and much adaptive than deep learning. The utility of bio-inspired learning methods lie in its ability to discover unknown patterns, and its less dependence on mathematical modeling or exhaustive training. In this paper, we propose a new bio-inspired learning model for a single-class classifier to detect abnormality in video object trajectories. The method uses a simple but dynamic extreme learning machine (ELM) and hierarchical temporal memory (HTM) together referred to as ELM-HTM in an unsupervised way to learn and classify time series patterns. The method has been tested on trajectory sequences in traffic surveillance to find abnormal behaviors such as high-speed, unusual stops, driving in wrong directions, loitering, etc. Experiments have also been performed with 3D air signatures captured using sensors and used for biometric authentication(forged/genuine). The results indicate a significant gain over training time and classification accuracy. The proposed method outperforms in predicting long-time patterns by observing small steps with an average accuracy gain of 15% as compared to the state-of-the-art HTM. The method has applications in detecting abnormal activities in videos by learning the movement patterns as well as in biometric authentication.     

Effect of Recruiter on Attraction to the Firm: Implications of the Elaboration Likelihood Model

The effect of recruiter behaviors on organizational attractiveness is the focus of a growing body of literature. The elaboration likelihood model (ELM) is a promising model for generating research examining how and when recruiter behaviors will influence job applicant attitudes formed during the recruitment process. In this paper, the ELM is described and considered in relation to variables that affect job applicant ability and motivation to accurately process information about organizational and job attributes and assess their fit with a firm during the recruitment process. In addition, several recruiter behaviors and characteristics known to affect applicant attraction to the firm are discussed in terms of the ELM.     

情感广告的传播效果及作用机制

情感诉求在现代广告中运用非常广泛,并已成为西方广告心理研究的热点问题之一。研究者们重点探讨了情感诉求的作用机制、情感诉求所能达到的传播效果及影响其传播效果的相关因素。文章对这些研究进行了较系统的考察,并提出了现有研究依然存在的一些问题