As an important category of deep models, deep generative model has attracted more and
more attention with the proposal of Deep Belief Networks (DBNs) and the fast greedy …

Nonnegative matrix factorization (NMF), a popular part-based representation technique,
does not capture the intrinsic local geometric structure of the data space. Graph regularized …

In this paper, a novel pattern classification approach is proposed by regularizing the
classifier learning to maximize mutual information between the classification response and …

Enterprises across all industries increasingly depend on decision guidance systems to
facilitate decision-making across all lines of business. Despite significant technological …

This paper presents a flexible fiber-optic sensor-based pressure sensing system for human
activity analysis and situation perception in indoor environments. In this system, a binary …

In the recent years, color and depth camera systems have attracted intensive attention
because of its wide applications in image-based rendering, 3D model reconstruction, and …

In this paper, we propose a novel aggregation–disaggregation scheme based on the
analytic hierarchy process (AHP) to conduct sales forecasting in the fashion industry, where …

In order to improve the efficiency of personnel matching system, this paper proposes a k-
means clustering algorithm based on spark platform to complete the personnel matching …

A controlled experiment is an empirical interventional study method to evaluate the causal
impact of an intervention, by identifying the dynamic feature dependency patterns in the …

This paper focuses on develo** an approach and technology for actionable
recommendations on the operation of electric power network components. The overall …