Dimensionality reduction (DR) is an important way of improving the classification accuracy of
a hyperspectral image (HSI). Graph learning, which can effectively reveal the intrinsic …

Reverse k nearest neighbor (RkNN) queries have a broad application base such as
decision support, profile-based marketing, and resource allocation. Previous work on RkNN …

In recent years, Computer Vision and Machine Learning techniques have been extensively
explored in the creation of assistive systems for the visually impaired. One of the most …

Identifying prospective customers is an important aspect of marketing research. In this paper,
we provide support for a new type of query, the Reverse Top-k Geo-Social Keyword …

We propose and study a new type of facility location selection query, the top-k most
influential location selection query. Given a set M of customers and a set F of existing …

This article presents a novel maximum point searching design for Photovoltaic (PV) systems
using a Maximum Power Point Scanning (MPPS) technique. The MPPS is integrated into an …

In this paper, we identify and solve a new type of spatial queries, called continuous visible
nearest neighbor (CVNN) search. Given a data set P, an obstacle set O, and a query line …

In the context of robotic gras**, object segmentation encounters several difficulties when
faced with dynamic conditions such as real-time operation, occlusion, low lighting, motion …

This work investigates a novel m-closest entity (m CE) matching problem over geographic
heterogeneous information networks (Geo-HINs). That is, given a Geo-HIN G and m query …

Reverse k-nearest neighbor (R k NN R k NN) query on graphs returns the data objects that
take a specified query object q as one of their k-nearest neighbors. It has significant …