AIMC Topic: Algorithms

Clear Filters Showing 12301 to 12310 of 28713 articles

Locality Adaptive Discriminant Analysis Framework.

IEEE transactions on cybernetics
Linear discriminant analysis (LDA) is a well-known technique for supervised dimensionality reduction and has been extensively applied in many real-world applications. LDA assumes that the samples are Gaussian distributed, and the local data distribut...

Weighted Gate Layer Autoencoders.

IEEE transactions on cybernetics
A single dataset could hide a significant number of relationships among its feature set. Learning these relationships simultaneously avoids the time complexity associated with running the learning algorithm for every possible relationship, and afford...

Semisupervised Affinity Matrix Learning via Dual-Channel Information Recovery.

IEEE transactions on cybernetics
This article explores the problem of semisupervised affinity matrix learning, that is, learning an affinity matrix of data samples under the supervision of a small number of pairwise constraints (PCs). By observing that both the matrix encoding PCs, ...

Navigation of a Fuzzy-Controlled Wheeled Robot Through the Combination of Expert Knowledge and Data-Driven Multiobjective Evolutionary Learning.

IEEE transactions on cybernetics
This article proposes a navigation scheme for a wheeled robot in unknown environments. The navigation scheme consists of obstacle boundary following (OBF), target seeking (TS), and vertex point seeking (VPS) behaviors and a behavior supervisor. The O...

The Impact of Data Augmentations on Deep Learning-Based Marine Object Classification in Benthic Image Transects.

Sensors (Basel, Switzerland)
Data augmentation is an established technique in computer vision to foster the generalization of training and to deal with low data volume. Most data augmentation and computer vision research are focused on everyday images such as traffic data. The a...

High-Quality Video Watermarking Based on Deep Neural Networks and Adjustable Subsquares Properties Algorithm.

Sensors (Basel, Switzerland)
This paper presents a method of high-capacity and transparent watermarking based on the usage of deep neural networks with the adjustable subsquares properties algorithm to encode the data of a watermark in high-quality video using the H.265/HEVC (Hi...

A Deep-Learning Based System for Rapid Genus Identification of Pathogens under Hyperspectral Microscopic Images.

Cells
Infectious diseases have always been a major threat to the survival of humanity. Additionally, they bring an enormous economic burden to society. The conventional methods for bacteria identification are expensive, time-consuming and laborious. Theref...

Research on Architectural Planning and Landscape Design of Smart City Based on Computational Intelligence.

Computational intelligence and neuroscience
City brain is a complex system, including online center, server network, and system with given algorithm. The core of the city brain is the intelligent system. After putting the urban brain into the intelligent nerve center, on the basis of not chang...

Machine Learning and Electrocardiography Signal-Based Minimum Calculation Time Detection for Blood Pressure Detection.

Computational and mathematical methods in medicine
OBJECTIVE: Measurement and monitoring of blood pressure are of great importance for preventing diseases such as cardiovascular and stroke caused by hypertension. Therefore, there is a need for advanced artificial intelligence-based systolic and diast...

Flowing through laboratory clinical data: the role of artificial intelligence and big data.

Clinical chemistry and laboratory medicine
During the last few years, clinical laboratories have faced a sea change, from facilities producing a high volume of low-cost test results, toward a more integrated and patient-centered service. Parallel to this paradigm change, the digitalization of...