Results 51 to 60 of about 15,552,862 (368)

Detecting connectedness [PDF]

open access: yesCerebral Cortex, 1998
Natural visual images are typically composed of multiple objects, which need to be segregated from each other and from the background. The visual system has evolved to capture a great variety of cues that allow a meaningful segmentation of the visual input. One of these cues is connectedness.
Roelfsema, P. R., Singer, W.
openaire   +3 more sources

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning [PDF]

open access: yesIEEE Transactions on Medical Imaging, 2016
Remarkable progress has been made in image recognition, primarily due to the availability of large-scale annotated datasets and deep convolutional neural networks (CNNs).
Hoo-Chang Shin   +8 more
semanticscholar   +1 more source

CenterNet: Keypoint Triplets for Object Detection [PDF]

open access: yesIEEE International Conference on Computer Vision, 2019
In object detection, keypoint-based approaches often experience the drawback of a large number of incorrect object bounding boxes, arguably due to the lack of an additional assessment inside cropped regions. This paper presents an efficient solution that
Kaiwen Duan   +5 more
semanticscholar   +1 more source

Radar Moving Target Detection in Clutter Background via Adaptive Dual-Threshold Sparse Fourier Transform

open access: yesIEEE Access, 2019
In this paper, an adaptive dual-threshold sparse Fourier transform (ADT-SFT) algorithm is proposed, which enables the application of the SFT and robust SFT (RSFT) to the moving target detection in clutter background.
Xiaohan Yu   +5 more
doaj   +1 more source

Supporting the development and adoption of automatic lameness detection systems in dairy cattle : effect of system cost and performance on potential market shares [PDF]

open access: yes, 2017
Most automatic lameness detection system prototypes have not yet been commercialized, and are hence not yet adopted in practice. Therefore, the objective of this study was to simulate the effect of detection performance (percentage missed lame cows and ...
Lauwers, Ludwig   +5 more
core   +2 more sources

Determination of Trace Lead in Uranium-bearing Geological Samples by Inductively Coupled Plasma-Optical Emission Spectrometry with Double Capillary On-line Interference Correction

open access: yesYankuang ceshi, 2015
Measured lead contents in geological samples were commonly lower than real values because of matrix elements interference during Inductively Coupled Plasma-Optical Emission Spectrometry (ICP-OES) analyses. In this study, U-bearing geological samples were
YANG Zhen   +5 more
doaj   +1 more source

Detecting Censor Detection

open access: yes, 2017
Our goal is to empirically discover how censors react to the introduction of new proxy servers that can be used to circumvent their information controls. We examine a specific case, that of obfuscated Tor bridges, and conduct experiments designed to discover how long it takes censors to block them (if they do block at all).
Fifield, David, Tsai, Lynn, Zhong, Qi
openaire   +2 more sources

Laboratory Detection of Novel Corona Virus 2019 Using Polymerase Chain Reaction [PDF]

open access: yes, 2020
Since mid-December 2019, several cases of a pneumonia like disease (with symptoms including fever, difficulty in breathing, cough and invasive lesions on both lungs) of unknown cause have emerged in the central Chinese city of Wuhan.
Chudhary, S. A. (Shafiq)   +2 more
core  

A Two-Stage Track-before-Detect Method for Non-Cooperative Bistatic Radar Based on Deep Learning

open access: yesRemote Sensing, 2023
Compared with traditional active detection radar, non-cooperative bistatic radar has a series of advantages, such as a low cost and low detectability. However, in real-life scenarios, it is limited by the non-cooperation of the radiation source and the ...
Wei Xiong   +3 more
doaj   +1 more source

A Space–Time–Range Joint Adaptive Focusing and Detection Method for Multiple Input Multiple Output Radar

open access: yesRemote Sensing, 2023
The Multiple Input Multiple Output (MIMO) radar, as a new type of radar, emits orthogonal waveforms, which provide it with waveform diversity characteristics, leading to increased degrees of freedom and improved target detection performance.
Jian Guan   +5 more
doaj   +1 more source

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