AIMC Topic: Pattern Recognition, Automated

Clear Filters Showing 181 to 190 of 1671 articles

A multi-birth metric learning framework based on binary constraints.

Neural networks : the official journal of the International Neural Network Society Jul 14, 2022
Multi-metric learning plays a significant role in improving the generalization of algorithms related to distance metrics since using a single metric is sometimes insufficient to handle complex data. Metric learning can adjust automatically the distan...
Artificial Intelligence Algorithms Databases, Factual Learning Pattern Recognition, Automated
View on PubMed DOI

Granular Fuzzy Rule-Based Modeling With Incomplete Data Representation.

IEEE transactions on cybernetics Jul 4, 2022
Incomplete data are frequently encountered and bring difficulties when it comes to further processing. The concepts of granular computing (GrC) help deliver a higher level of abstraction to address this problem. Most of the existing data imputation a...
Algorithms Fuzzy Logic Pattern Recognition, Automated
View on PubMed DOI

Knowledge Graph-Enabled Text-Based Automatic Personality Prediction.

Computational intelligence and neuroscience Jun 20, 2022
How people think, feel, and behave primarily is a representation of their personality characteristics. By being conscious of the personality characteristics of individuals whom we are dealing with or deciding to deal with, one can competently amelior...
Humans Neural Networks, Computer Language Personality Pattern Recognition, Automated
View on PubMed DOI

Weakly Supervised Violence Detection in Surveillance Video.

Sensors (Basel, Switzerland) Jun 14, 2022
Automatic violence detection in video surveillance is essential for social and personal security. Monitoring the large number of surveillance cameras used in public and private areas is challenging for human operators. The manual nature of this task ...
Humans Neural Networks, Computer Algorithms Motion Pattern Recognition, Automated Violence
View on PubMed DOI

Motion Feature Aggregation for Video-Based Person Re-Identification.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jun 9, 2022
Most video-based person re-identification (re-id) methods only focus on appearance features but neglect motion features. In fact, motion features can help to distinguish the target persons that are hard to be identified only by appearance features. H...
Humans Neural Networks, Computer Motion Video Recording Pattern Recognition, Automated
View on PubMed DOI

The Application of Pattern Recognition System in Design Field Based on Aesthetic Principles.

Computational intelligence and neuroscience May 24, 2022
The design system based on aesthetic principles is the most representative in the field of design and has a certain significance for the research and construction of design aesthetics and the development of design education. Therefore, this paper stu...
Neural Networks, Computer Pattern Recognition, Automated Vision, Ocular Esthetics
View on PubMed DOI

Real-Time Abnormal Object Detection for Video Surveillance in Smart Cities.

Sensors (Basel, Switzerland) May 19, 2022
With the adaptation of video surveillance in many areas for object detection, monitoring abnormal behavior in several cameras requires constant human tracking for a single camera operative, which is a tedious task. In multiview cameras, accurately de...
Humans Neural Networks, Computer Cities Pattern Recognition, Automated
View on PubMed DOI

Construction of Knowledge Graph English Online Homework Evaluation System Based on Multimodal Neural Network Feature Extraction.

Computational intelligence and neuroscience May 13, 2022
This paper defines the data schema of the multimodal knowledge graph, that is, the definition of entity types and relationships between entities. The knowledge point entities are defined as three types of structures, algorithms, and related terms, sp...
Humans Neural Networks, Computer Algorithms Language Semantics Pattern Recognition, Automated
View on PubMed DOI

Visualization and Analysis Model of Industrial Economy Status and Development Based on Knowledge Graph and Deep Neural Network.

Computational intelligence and neuroscience Apr 28, 2022
This paper adopts knowledge mapping combined with a deep neural network algorithm to conduct in-depth research and analysis on the current situation and development of the industrial economy and designs a visual analysis model of economic development...
Neural Networks, Computer Algorithms Pattern Recognition, Automated Industry
View on PubMed DOI

Adversarial Attack on Skeleton-Based Human Action Recognition.

IEEE transactions on neural networks and learning systems Apr 4, 2022
Deep learning models achieve impressive performance for skeleton-based human action recognition. Graph convolutional networks (GCNs) are particularly suitable for this task due to the graph-structured nature of skeleton data. However, the robustness ...
Humans Neural Networks, Computer Pattern Recognition, Automated Recognition, Psychology Skeleton
View on PubMed DOI
Popular Topics
Recent Journals