Results 31 to 40 of about 11,596,145 (301)
Algorithms for Mobile Robot Localization and Mapping, Incorporating Detailed Noise Modeling and Multi-scale Feature Extraction [PDF]
Mobile robot localization and mapping in unknown environments is a fundamental requirement for effective autonomous navigation. Three different approaches to localization and mapping are presented.
Pfister, Samuel Thomas
core +1 more source
Efficient Lightweight Attention Network for Face Recognition
Although face recognition has achieved great success due to deep learning, many factors may affect the quality of faces in the wild, such as pose changes, age variations, and light changes, which can seriously affect the performance of face recognition ...
Peng Zhang +3 more
doaj +1 more source
Stability, Structure and Scale: Improvements in Multi-modal Vessel Extraction for SEEG Trajectory Planning [PDF]
Purpose Brain vessels are among the most critical landmarks that need to be assessed for mitigating surgical risks in stereo-electroencephalography (SEEG) implantation. Intracranial haemorrhage is the most common complication associated with implantation,
Anna Miserocchi +21 more
core +1 more source
Disparity Using Feature Points in Multi Scale [PDF]
In this paper we describe a statistical framework for binocular disparity estimation. We use a bank of Gabor filters to compute multiscale phase signatures at detected feature points. Using a von Mises distribution,w e calculate correspondence probabilities for the feature points in different images using the phase differences at different scales.
Ilkay Ulusoy +2 more
openaire +2 more sources
Multi-scale modeling of gas-fluidized beds [PDF]
Numerical models of gas-fluidized beds have become an important tool in the design and scale up of gas-solid chemical reactors. However, a single numerical model which includes the solid-solid and solid-fluid interaction in full detail is not feasible ...
Hoef, van der, M.A. +22 more
core +1 more source
The width of convolutional neural networks (CNNs) is crucial for improving performance. Many wide CNNs use a convolutional layer to fuse multiscale features or fuse the preceding features to subsequent features.
Xiaohong Yu +4 more
doaj +1 more source
Multi-Time-Scale Features for Accurate Respiratory Sound Classification
The COVID-19 pandemic has amplified the urgency of the developments in computer-assisted medicine and, in particular, the need for automated tools supporting the clinical diagnosis and assessment of respiratory symptoms.
Alfonso Monaco +5 more
doaj +1 more source
Extraction and fusion of multi-scale features.
Extraction and fusion of multi-scale features.
Junnian Wang (13970197) +4 more
core +1 more source
Shape Matching Based on Multi-Scale Invariant Features
Shape matching has been extensively used in various fields. The local feature-based or global feature-based algorithms can hardly describe the shape comprehensively due to their inherent defects.
Zhang Kun, Ma Xiao, Li Xinguo
doaj +1 more source
Direct numerical simulation of complex viscoelastic flows via fast lattice-Boltzmann solution of the Fokker–Planck equation [PDF]
Micro–macro simulations of polymeric solutions rely on the coupling between macroscopic conservation equations for the fluid flow and stochastic differential equations for kinetic viscoelastic models at the microscopic scale.
Izquierdo, S. +6 more
core +1 more source

