期刊： PATTERN ANALYSIS AND APPLICATIONS, 2021; 24 (3)
With the rapid development of computer technology, data collection becomes easier, and data object presents more complex. Data analysis method based o......
期刊： PATTERN ANALYSIS AND APPLICATIONS, 2021; 24 (3)
Moment invariants are an especially important research topic in pattern recognition. There are many kinds of moment invariants published in the litera......
期刊： PATTERN ANALYSIS AND APPLICATIONS, 2021; 24 (3)
In the field of object detection, domain migration has gradually become a hot issue. We hope that the model trained in the domain with label-rich can ......
期刊： PATTERN ANALYSIS AND APPLICATIONS, 2021; 24 (3)
Clustering by fast search and find of density peaks (DPC) is a popular clustering method based on density and distance. In DPC, each non-center point'......
期刊： PATTERN ANALYSIS AND APPLICATIONS, 2021; 24 (3)
In this paper, an improved algorithm based on Yolo V3 is proposed, which can effectively improve the accuracy of small target detection. First of all,......
期刊： PATTERN ANALYSIS AND APPLICATIONS, 2021; 24 (3)
We propose a novel single shot object detection network with a mask prediction branch. Our motivation is to enhance object detection features with sem......
期刊： PATTERN ANALYSIS AND APPLICATIONS, 2021; 24 (3)
In this paper, a fast template matching algorithm of two-stage and dual-check bounded partial correlation (TDBPC) based on normalized cross-correlatio......
期刊： PATTERN ANALYSIS AND APPLICATIONS, 2021; 24 (3)
Deep trackers often use convolutional neural networks (CNNs) pre-trained to extract features. The training dataset always does not contain the trackin......
期刊： PATTERN ANALYSIS AND APPLICATIONS, 2021; 24 (3)
Aiming at the difficulty of obtaining a large number of labeled samples of the shortwave receiving system, an intelligent diagnosis method for the sho......
期刊： PATTERN ANALYSIS AND APPLICATIONS, 2021; 24 (3)
Gesture recognition is a popular research field in computer vision and the application of deep neural networks greatly improves its performance. Howev......
期刊： PATTERN ANALYSIS AND APPLICATIONS, ; ()
The kernel method of machine learning is to transform data from data space to reproducing kernel Hilbert space (RKHS) and then perform machine learnin......
期刊： PATTERN ANALYSIS AND APPLICATIONS, ; ()
As human action is a spatial-temporal process, modern action recognition research has focused on exploring more effective motion representations, rath......
期刊： PATTERN ANALYSIS AND APPLICATIONS, ; ()
The process of information fusion needs to deal with a large number of uncertain information with multi-source, heterogeneity, inaccuracy, unreliabili......
期刊： PATTERN ANALYSIS AND APPLICATIONS, ; ()
In recent years, urgent needs for counting crowds and vehicles have greatly promoted research of crowd counting and density estimation. Benefiting fro......
期刊： PATTERN ANALYSIS AND APPLICATIONS, ; ()
Copy-move (or copy-paste or cloning) is one of the most common image forgeries, wherein one or more region are copied and pasted within the same image......
