Results 11 to 20 of about 2,450,419 (369)
Stochastic-Based Pattern Recognition Analysis [PDF]
Published in Pattern Recognition Letters in 2010, 2012 In this work we review the basic principles of stochastic logic and propose its application to probabilistic-based pattern-recognition analysis. The proposed technique is intrinsically a parallel comparison of input data to various pre-stored categories using Bayesian techniques.
Antoni Morro +6 more
arxiv +3 more sources
ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Multi-Task Learning Challenges [PDF]
, 2022 This paper describes the third Affective Behavior Analysis in-the-wild (ABAW) Competition, held in conjunction with IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) +1 more
core +3 more sources
Advances in Multimedia, 2023 With the rapid development of the national power grid, there is an increasing and strict demand for accurate intelligent management. However, the current detection algorithms have limited abilities under adverse conditions, especially in regions like ...
R. Chang +8 more
doaj +1 more source
Pattern Recognition by Pentraxins [PDF]
, 2009 Pentraxins are a family of evolutionarily conserved pattern-recognition proteins that are made up of five identical subunits. Based on the primary structure of the subunit, the pentraxins are divided into two groups: short pentraxins and long pentraxins. C-reactive protein (CRP) and serum amyloid P-component (SAP) are the two short pentraxins.
Agrawal, Alok +4 more
openaire +4 more sources
Development of Transformations from Business Process Models to Implementations by Reuse [PDF]
, 2007 This paper presents an approach for developing transformations from business process models to implementations that facilitates reuse. A transformation is developed as a composition of three smaller tasks: pattern recognition, pattern realization and ...
Dirgahayu, Teduh +2 more
core +4 more sources
Image segmentation based on adaptive K-means algorithm
EURASIP Journal on Image and Video Processing, 2018 Image segmentation is an important preprocessing operation in image recognition and computer vision. This paper proposes an adaptive K-means image segmentation method, which generates accurate segmentation results with simple operation and avoids the ...
Xin Zheng +4 more
doaj +1 more source
Deep learning for terahertz image denoising in nondestructive historical document analysis
Scientific Reports, 2022 Historical documents contain essential information about the past, including places, people, or events. Many of these valuable cultural artifacts cannot be further examined due to aging or external influences, as they are too fragile to be opened or ...
Balaka Dutta +11 more
doaj +1 more source
Pattern recognition on a quantum computer [PDF]
, 1994 By means of a simple example it is demonstrated that the task of finding and identifying certain patterns in an otherwise (macroscopically) unstructured picture (data set) can be accomplished efficiently by a quantum computer. Employing the powerful tool
Gastpar, M. +2 more
core +3 more sources
Scientific Reports, 2021 In many research areas, scientific progress is accelerated by multidisciplinary access to image data and their interdisciplinary annotation. However, keeping track of these annotations to ensure a high-quality multi-purpose data set is a challenging and ...
Christian Marzahl +9 more
doaj +1 more source
Residual Feature Pyramid Network for Enhancement of Vascular Patterns [PDF]
in Proceedings of the IEEE/CVF Conference on Computer Vision and
Pattern Recognition (CVPR) Workshops, 2022, pp. 1588-1595, 2023 The accuracy of finger vein recognition systems gets degraded due to low and uneven contrast between veins and surroundings, often resulting in poor detection of vein patterns. We propose a finger-vein enhancement technique, ResFPN (Residual Feature Pyramid Network), as a generic preprocessing method agnostic to the recognition pipeline.
arxiv +1 more source