Street-crimes Modelled Arms Recognition Technique (SMART) : Using VGG

2021 ◽  
Author(s):  
Syed Atif Ali Shah ◽  
Mahmoud Ahmad Al-Khasawneh ◽  
M. Irfan Uddin
Keyword(s):  
Recognition Technique

An Approach for Speech Recognition Technique

2014 ◽  
Vol 1 (2) ◽  
pp. 7-15
Author(s):  
M. Suleman Basha ◽  
◽  
K. Rajendra Prasad ◽  
B. Rama Subbaiah ◽  
◽  
...  
Keyword(s):  
Speech Recognition ◽  
Recognition Technique

A Variant Group Assignment Three Dimensional Model Using Pattern Recognition Technique

2019 ◽  
Vol 10 (6) ◽  
pp. 1382-1394
Author(s):  
R. Vijayalakshmi ◽  
V. K. Soma Sekhar Srinivas ◽  
E. Manjoolatha ◽  
G. Rajeswari ◽  
M. Sundaramurthy
Keyword(s):  
Pattern Recognition ◽  
Three Dimensional ◽  
Dimensional Model ◽  
Three Dimensional Model ◽  
Pattern Recognition Technique ◽  
Group Assignment ◽  
Recognition Technique

Serum SELDI-TOF MS analysis model applied to benign and malignant ovarian tumor identification

2016 ◽  
Vol 8 (1) ◽  
pp. 183-188 ◽  
Author(s):  
Yankun Li ◽  
Xiangchao Zeng
Keyword(s):  
Ovarian Tumor ◽  
Analysis Model ◽  
Pattern Recognition Technique ◽  
Serum Peptide ◽  
Tumor Identification ◽  
Benign Ovarian Tumor ◽  
Malignant Ovarian Tumor ◽  
Peptide Profiles ◽  
Recognition Technique ◽  
Tof Ms

SELDI-TOF MS serum peptide profiles of malignant and benign ovarian tumor samples were studied using a pattern recognition technique.

scholarly journals Almost vanishing polynomials and an application to the Hough transform

2014 ◽  
Vol 13 (08) ◽  
pp. 1450057 ◽  
Author(s):  
Maria-Laura Torrente ◽  
Mauro C. Beltrametti
Keyword(s):  
Hough Transform ◽  
Affine Space ◽  
Bounded Region ◽  
Pattern Recognition Technique ◽  
Local Study ◽  
Affine Hypersurface ◽  
Automated Recognition ◽  
Real Affine ◽  
Necessary And Sufficient ◽  
Recognition Technique

We consider the problem of deciding whether or not an affine hypersurface of equation f = 0, where f = f(x1, …, xn) is a polynomial in ℝ[x1, …, xn], crosses a bounded region 𝒯 of the real affine space 𝔸n. We perform a local study of the problem, and provide both necessary and sufficient numerical conditions to answer the question. Our conditions are based on the evaluation of f at a point p ∈ 𝒯, and derive from the analysis of the differential geometric properties of the hypersurface z = f(x1, …, xn) at p. We discuss an application of our results in the context of the Hough transform, a pattern recognition technique for the automated recognition of curves in images.

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