Results 31 to 40 of about 2,450,419 (369)
International Journal of Biomedical Imaging, 2017 We improve data extrapolation for truncated computed tomography (CT) projections by using Helgason-Ludwig (HL) consistency conditions that mathematically describe the overlap of information between projections. First, we theoretically derive a 2D Fourier
Yan Xia +5 more
doaj +1 more source
Image-Dehazing Method Based on the Fusion Coding of Contours and Colors
IEEE Access, 2019 The dehazing of images shot in fog is a hot spot in the study of computer vision. Unlike dehazing methods, which use an atmospheric scattering model, the method proposed here is based on fusion coding of contours and colors.
Mingming Tan +5 more
doaj +1 more source
Pattern recognition receptors in antifungal immunity [PDF]
, 2014 We thank the Wellcome Trust for funding this study.Peer reviewedPublisher ...
Brown, Gordon D +2 more
core +2 more sources
Deep Semantic Clustering by Partition Confidence Maximisation [PDF]
, 2020 By simultaneously learning visual features and data grouping, deep clustering has shown impressive ability to deal with unsupervised learning for structure analysis of high-dimensional visual data. Existing deep clustering methods typically rely on local
Gong, S +3 more
core +1 more source
A robust autoassociative memory with coupled networks of Kuramoto-type oscillators [PDF]
, 2016 Uncertain recognition success, unfavorable scaling of connection complexity or dependence on complex external input impair the usefulness of current oscillatory neural networks for pattern recognition or restrict technical realizations to small networks.
arxiv +1 more source
ClusterFace: Joint Clustering and Classification for Set-Based Face Recognition [PDF]
, 2020 Deep learning technology has enabled successful modeling of complex facial features when high quality images are available. Nonetheless, accurate modeling and recognition of human faces in real world scenarios `on the wild' or under adverse conditions ...
25th International Conference on Pattern Recognition (ICPR 2020) +2 more
core
Advanced local motion patterns for macro and micro facial expression recognition [PDF]
, 2018 In this paper, we develop a new method that recognizes facial expressions, on the basis of an innovative local motion patterns feature, with three main contributions. The first one is the analysis of the face skin temporal elasticity and face deformations during expression.
arxiv +1 more source
Comparison of Fiber-Based Gas Pressure Sensors Using Hollow-Core Photonic Crystal Fibers
IEEE Photonics Journal, 2021 A systematic comparison of fiber-based gas pressure sensors using different types of hollow-core photonic crystal fibers (PCFs) is conducted. The sensor was fabricated by splicing a segment of hollow-core silica capillary between a single mode fiber (SMF)
Xuemei Yang +4 more
doaj +1 more source
Kybernetik, 1968 A new probabilistic learning machine for pattern recognition is described. The machine operates on the basis of random criteria obtained from special pseudorandom generators. The input, particularly versatile due to the use of an image dissector, allows a random scan for which normal television storage pick-up tubes are not suitable.
E. Wanke, G. Palmieri
openaire +3 more sources
Pattern recognition technique [PDF]
, 1971 Technique operates regardless of pattern rotation, translation or magnification and successfully detects out-of-register patterns. It improves accuracy and reduces cost of various optical character recognition devices and page readers and provides data ...
Hong, J. P.
core +1 more source