Explainable artificial intelligence model to predict acute critical illness from electronic health records
SM Lauritsen, M Kristensen, MV Olsen… - Nature …, 2020 - nature.com
Acute critical illness is often preceded by deterioration of routinely measured clinical
parameters, eg, blood pressure and heart rate. Early clinical prediction is typically based on …
parameters, eg, blood pressure and heart rate. Early clinical prediction is typically based on …
Local invariant feature detectors: a survey
T Tuytelaars, K Mikolajczyk - Foundations and trends® in …, 2008 - nowpublishers.com
In this survey, we give an overview of invariant interest point detectors, how they evolved
over time, how they work, and what their respective strengths and weaknesses are. We …
over time, how they work, and what their respective strengths and weaknesses are. We …
Scale-space theory: A basic tool for analyzing structures at different scales
T Lindeberg - Journal of applied statistics, 1994 - Taylor & Francis
An inherent property of objects in the world is that they only exist as meaningful entities over
certain ranges of scale. If one aims to describe the structure of unknown real-world signals …
certain ranges of scale. If one aims to describe the structure of unknown real-world signals …
[PDF][PDF] 图像的角点检测研究综述
章为川， 孔祥楠， 宋文 - 电子学报, 2015 - ejournal.org.cn
角点检测是图像处理和模式识别领域的基本课题, 它在运动估计, 形状分析, 3D
重建等方面都有重要的应用. 本文对角点检测方法进行了详细阐述及分类 …
重建等方面都有重要的应用. 本文对角点检测方法进行了详细阐述及分类 …
Detecting salient blob-like image structures and their scales with a scale-space primal sketch: A method for focus-of-attention
T Lindeberg - International Journal of Computer Vision, 1993 - Springer
This article presents:(i) a multiscale representation of grey-level shape called the scale-
space primal sketch, which makes explicit both features in scale-space and the relations …
space primal sketch, which makes explicit both features in scale-space and the relations …
Image matching using generalized scale-space interest points
T Lindeberg - Journal of mathematical Imaging and Vision, 2015 - Springer
The performance of matching and object recognition methods based on interest points
depends on both the properties of the underlying interest points and the choice of …
depends on both the properties of the underlying interest points and the choice of …
Fast normalized cross correlation for defect detection
DM Tsai, CT Lin - Pattern recognition letters, 2003 - Elsevier
Normalized cross correlation (NCC) has been used extensively for many machine vision
applications, but the traditional normalized correlation operation does not meet speed …
applications, but the traditional normalized correlation operation does not meet speed …
Hand gesture recognition using multi-scale colour features, hierarchical models and particle filtering
L Bretzner, I Laptev, T Lindeberg - Proceedings of fifth IEEE …, 2002 - ieeexplore.ieee.org
This paper presents algorithms and a prototype system for hand tracking and hand posture
recognition. Hand postures are represented in terms of hierarchies of multi-scale colour …
recognition. Hand postures are represented in terms of hierarchies of multi-scale colour …
[图书][B] Shape classification and analysis: theory and practice
L da Fona Costa, RM Cesar Jr - 2018 - taylorfrancis.com
Because the properties of objects are largely determined by their geometric features, shape
analysis and classification are essential to almost every applied scientific and technological …
analysis and classification are essential to almost every applied scientific and technological …
Detection of local features invariant to affines transformations
K Mikolajczyk - 2002 - theses.hal.science
Une des approches dominantes pour la reconnaissance d'objets est basée sur les
caractéristiques locales. La méthode utilise la description locale calculée au voisinage de …
caractéristiques locales. La méthode utilise la description locale calculée au voisinage de …