AIMC Topic: Algorithms

Clear Filters Showing 23381 to 23390 of 28713 articles

Robust representation and recognition of facial emotions using extreme sparse learning.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Recognition of natural emotions from human faces is an interesting topic with a wide range of potential applications, such as human-computer interaction, automated tutoring systems, image and video retrieval, smart environments, and driver warning sy...

Team activity recognition in Association Football using a Bag-of-Words-based method.

Human movement science
In this paper, a new methodology is used to perform team activity recognition and analysis in Association Football. It is based on pattern recognition and machine learning techniques. In particular, a strategy based on the Bag-of-Words (BoW) techniqu...

Network intrusion detection based on a general regression neural network optimized by an improved artificial immune algorithm.

PloS one
To effectively and accurately detect and classify network intrusion data, this paper introduces a general regression neural network (GRNN) based on the artificial immune algorithm with elitist strategies (AIAE). The elitist archive and elitist crosso...

Using Functional Electrical Stimulation Mediated by Iterative Learning Control and Robotics to Improve Arm Movement for People With Multiple Sclerosis.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Few interventions address multiple sclerosis (MS) arm dysfunction but robotics and functional electrical stimulation (FES) appear promising. This paper investigates the feasibility of combining FES with passive robotic support during virtual reality ...

Automatic negation detection in narrative pathology reports.

Artificial intelligence in medicine
OBJECTIVE: To detect negations of medical entities in free-text pathology reports with different approaches, and evaluate their performances.

Locality-constrained Subcluster Representation Ensemble for lung image classification.

Medical image analysis
In this paper, we propose a new Locality-constrained Subcluster Representation Ensemble (LSRE) model, to classify high-resolution computed tomography (HRCT) images of interstitial lung diseases (ILDs). Medical images normally exhibit large intra-clas...

Assessing the effects of data selection and representation on the development of reliable E. coli sigma 70 promoter region predictors.

PloS one
As the number of sequenced bacterial genomes increases, the need for rapid and reliable tools for the annotation of functional elements (e.g., transcriptional regulatory elements) becomes more desirable. Promoters are the key regulatory elements, whi...

Further analysis of global μ-stability of complex-valued neural networks with unbounded time-varying delays.

Neural networks : the official journal of the International Neural Network Society
In this paper, we consider the problem of global μ-stability for complex-valued neural networks (CVNNs) with unbounded time-varying delays and it has been widely investigated. Under mild conditions, some new sufficient conditions for global μ-stabili...

New enhanced artificial bee colony (JA-ABC5) algorithm with application for reactive power optimization.

TheScientificWorldJournal
The standard artificial bee colony (ABC) algorithm involves exploration and exploitation processes which need to be balanced for enhanced performance. This paper proposes a new modified ABC algorithm named JA-ABC5 to enhance convergence speed and imp...

A linear-RBF multikernel SVM to classify big text corpora.

BioMed research international
Support vector machine (SVM) is a powerful technique for classification. However, SVM is not suitable for classification of large datasets or text corpora, because the training complexity of SVMs is highly dependent on the input size. Recent developm...