The aim of the research is to improve the effectiveness of image recognition methods
according to the description in the form of a set of keypoint descriptors. The focus is on …

Recent image retrieval techniques are focusing on multiple image features for the efficient
image retrieval. It has been an inevitable requirement to fetch the images from a variety of …

Предметом досліджень статті є методи класифікації зображень у системах
комп'ютерного зору. Мета–розвинення структурних методів класифікації в аспекті …

This work studies the unsupervised re-ranking procedure for object retrieval and person re-
identification with a specific concentration on an ensemble of multiple metrics (or …

We introduce a generic visual descriptor, termed as distribution aware retinal transform
(DART), that encodes the structural context using log-polar grids for event cameras. The …

As a postprocessing procedure, diffusion process has demonstrated its ability of
substantially improving the performance of various visual retrieval systems. Whereas, great …

In order to solve the tough issue that is difficult to extract the representative fault features of
the hybrid vibration signals from the various industrial applications, a motor fault diagnosis …

As relevance theory shows, the success of communication crucially depends on the right
contextual information being highly accessible at the right time. Thus it is not sufficient that …

随着网络空间安全情报在网络犯罪, 网络战和网络反恐等领域的作用日益凸显,
迫切需要对网络空间安全情报的基本理论和综合分析方法进行深入研究. 当前 …

This article proposes a framework for model-based point pattern learning using point
process theory. Likelihood functions for point pattern data derived from point process theory …