A High Detection Rate Pupil Detection Algorithm Based on Contour Circularity Evaluation

2019 ◽  
Author(s):  
Petronela Bonteanu ◽  
Radu Gabriel Bozomitu ◽  
Arcadie Cracan ◽  
Gabriel Bonteanu
Keyword(s):  
Detection Rate ◽  
Detection Algorithm ◽  
High Detection Rate ◽  
Pupil Detection ◽  
High Detection

A Dynamic Collision Detection Algorithm Based on Bounding Box-Tree

2011 ◽  
Vol 204-210 ◽  
pp. 1041-1044 ◽  
Author(s):  
Yu Mei Xiong ◽  
Yi Min Chen
Keyword(s):  
Collision Detection ◽  
Detection Rate ◽  
Detection Algorithm ◽  
Relative Speed ◽  
Time Requirement ◽  
High Detection Rate ◽  
Bounding Box ◽  
High Detection ◽  
Multi Level ◽  
Priority Policy

To satisfy the real-time requirement of collision detection, we presented a dynamic collision detection algorithm based on bounding box-tree. The algorithm had a high detection rate through the establishment of multi-level priority policy when the objects were in the collision state or non-collision state. And it can provide the dynamic spatial and temporal information including collision parts, collision level and the relative speed. The algorithm well adapted to the needs of the dynamic collision detection, and experiments showed that the algorithm greatly improved the efficiency of detection

A Comparative Review of Various Machine Learning Approaches for Improving the Performance of Stego Anomaly Detection

2018 ◽  
pp. 351-371 ◽  
Author(s):  
Hemalatha Jeyaprakash ◽  
KavithaDevi M. K. ◽  
Geetha S.
Keyword(s):  
Machine Learning ◽  
Anomaly Detection ◽  
Detection Rate ◽  
High Dimensional ◽  
Learning Approaches ◽  
Learning Tools ◽  
High Detection Rate ◽  
Comparative Review ◽  
High Detection

In recent years, steganalyzers are intelligently detecting the stego images with high detection rate using high dimensional cover representation. And so the steganographers are working towards this issue to protect the cover element dependency and to protect the detection of hiding secret messages. Any steganalysis algorithm may achieve its success in two ways: 1) extracting the most sensitive features to expose the footprints of message hiding; 2) designing or building an effective classifier engine to favorably detect the stego images through learning all the stego sensitive features. In this chapter, the authors improve the stego anomaly detection using the second approach. This chapter presents a comparative review of application of the machine learning tools for steganalysis problem and recommends the best classifier that produces a superior detection rate.

A Approach to Change Detection for HR Image

2014 ◽  
Vol 971-973 ◽  
pp. 1449-1453
Author(s):  
Zuo Wei Huang ◽  
Shu Guang Wu ◽  
Tao Xin Zhang
Keyword(s):  
Change Detection ◽  
Detection Rate ◽  
False Detection Rate ◽  
False Detection ◽  
High Detection Rate ◽  
High Detection ◽  
Self Adaptation ◽  
Ica Algorithm ◽  
Different Characteristics ◽  
Better Than

Hyperspectral remote sensing is the multi-dimensional information obtaining technology,which combines target detection and spectral imaging technology together, In order to accord with the condition of hyperspectral imagery，the paper developed an optimized ICA algorithm for change detection to describe the statistical distribution of the data. By processing these abundance maps, change of different classes of objects can be obtained..A approach is capable of self-adaptation, and can be applied to hyperspectral images with different characteristics. Experiment results demonstrate that the ICA-based hyperspectral change detection performs better than other traditional methods with a high detection rate and a low false detection rate.

346 HIGH DETECTION RATE OF INTRAPROSTATIC TRICHOMONADS CORELATES WITH IMUNE RESPONSE IN OBSTRUCTIVE BENIGN PROSTATIC HYPERPLASIA

2009 ◽  
Vol 8 (4) ◽  
pp. 207
Author(s):  
D. Mitteregger ◽  
W. Aberle ◽  
M. Makristathis ◽  
J. Walochnik ◽  
W. Brozek ◽  
...  
Keyword(s):  
Benign Prostatic Hyperplasia ◽  
Detection Rate ◽  
Prostatic Hyperplasia ◽  
High Detection Rate ◽  
High Detection

scholarly journals Stroke Risk Analysis, a System With a High Detection Rate of Atrial Fibrillation in Stroke and Transient Ischemic Attack

Stroke ◽  
2020 ◽  
Vol 51 (1) ◽  
pp. 262-267 ◽  
Author(s):  
Meritxell Gomis ◽  
Antoni Dávalos ◽  
Francisco Purroy ◽  
Pere Cardona ◽  
Ana Rodríguez-Campello ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Risk Analysis ◽  
Transient Ischemic Attack ◽  
Detection Rate ◽  
Stroke Risk ◽  
High Detection Rate ◽  
High Detection ◽  
Ischemic Attack

THE DOUBLE PULSAR SYSTEM J0737–3039

2005 ◽  
Vol 20 (29) ◽  
pp. 7035-7044 ◽  
Author(s):  
D. R. LORIMER
Keyword(s):  
General Relativity ◽  
Neutron Star ◽  
Gravitational Wave ◽  
Detection Rate ◽  
Order Effects ◽  
Gravitational Wave Detector ◽  
High Detection Rate ◽  
Wave Detector ◽  
High Detection ◽  
Order Of Magnitude

The double pulsar system J0737 – 3039 – a 22.7 ms pulsar in a compact 2.4 hr orbit about a 2.7 s pulsar was one of the long-awaited "holy grails" of pulsar astronomy. After only two years of timing, the system is close to surpassing the original Hulse-Taylor binary as a test of general relativity. On-going timing should soon reveal second-order effects in the post-Newtonian parameters. In addition, the observed interactions of the radio beams of the two pulsars provide a unique laboratory for probing neutron star magnetospheres and relativistic winds. Finally, a revised estimate of the cosmic rate of double neutron star mergers including J0737 – 3039 boosts previous estimates by an order of magnitude and suggests a high detection rate for the advanced LIGO gravitational wave detector.

High detection rate of clinically relevant genomic abnormalities in plasma cells enriched from patients with multiple myeloma

2012 ◽  
Vol 51 (11) ◽  
pp. 997-1006 ◽  
Author(s):  
Marian Stevens-Kroef ◽  
Daniel Olde Weghuis ◽  
Sandra Croockewit ◽  
Leo Derksen ◽  
Jeroen Hooijer ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Detection Rate ◽  
Plasma Cells ◽  
High Detection Rate ◽  
High Detection
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