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"Pilot Iris Recognition Based on Spherical Haar Wavelet and Convolution" by Bo Jia, Xiaoxin Feng et al.


Abstract
Iris recognition faces two important issues. they are how to decompose finely and reconstruct the spherical image of the iris, and how to identify the characteristics of the iris. Conventional iris recognition uses usually the planar features of these iris images. However, the human eye is a sphere. The geometric position information of the iris surface is an important signal, but it is difficult to extract the geometric features of the iris sphere from the planar image. Considering the issue that the plane features are prone to distortion and lack fidelity of iris texture, an Orthogonal and Symmetric Spherical Haar Wavelet (OSSHW) basis is proposed to decompose and reconstruct the spherical iris signal to obtain stronger geometric features of iris surface. The comparison of the feature extraction ability to spherical signal by the spherical harmonics and the typical semi-orthogonal or nearly orthogonal spherical Haar wavelet is also presented. And then, an iris recog ....

Convolutional Neural Networks , Symmetric Spherical Haar Wavelet , Iris Recognition , Rthogonal And Symmetric , Pherical Haar Wavelet Basis , Pherical Signals , கருவிழி அங்கீகாரம் ,

Machine Learning Sorts Ancient Pottery Fragments - Archaeology Magazine


Thursday, May 20, 2021
FLAGSTAFF, ARIZONA According to a statement released by Northern Arizona University, researchers Leszek Pawlowicz and Chris Downum used a form of machine learning known as Convolutional Neural Networks (CNNs) to sort pottery fragments into stylistic categories. Different types of pottery can be correlated with different groups of people and time periods, and therefore provide valuable information about archaeological sites. But identifying these pottery types by hand is time-consuming. Pawlowicz and Downum first collected thousands of digital photographs of examples of fragments of Tusayan White Ware, which is often found in northeastern Arizona, and asked experts to classify each photograph by its type of pottery design. These photographs were then used to “train” a computer to learn pottery types. Pawlowicz said that the computer was eventually able to identify pottery types, sometimes with greater accuracy than the human experts. The machine was a ....

United States , Northern Arizona University , Tusayan Sherds , Leszek Pawlowicz , Chris Downum , Convolutional Neural Networks Cnns , Convolutional Neural Networks , Tusayan White Ware , Machine Learning , ஒன்றுபட்டது மாநிலங்களில் , வடக்கு அரிசோனா பல்கலைக்கழகம் , இயந்திரம் கற்றல் ,

Making Coffee with the MAX78000 and Some AI (Part 1)


Making Coffee with the MAX78000 and Some AI (Part 1)
04/22/2021
Getting Started
Modern hardware can accelerate the use of convolutional neural networks (CNN), a kind of deep neural network, that are mostly used to analyze visual imagery or audio. For an application, this opens up a new way to process data and interact with its environment.
The required data processing for a CNN is a lot for a single CPU and something that can be heavily paralyzing; therefore, an accelerator is included. For your PC, this can be done with the help of your graphics card or special accelerator units like the NVIDIA Tesla cards (or these accelerators are built into the system itself, as seen on the new Apple M1 processor). The Maxim Integrated MAX78000 MCU brings a CNN accelerator, a Cortex-M4F and a RISC-V core together, as you can read from the datasheet. Aimed at CNN processing while operating in low-power modes, this allows for new ways to integrate AI in embedded designs. ....

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Cogito Tech Acquires SOC 2 Type II Certification Fortifying Itself into the Data's Safest Haven


Cogito Tech Acquires SOC 2 Type II Certification Fortifying Itself into the Data s Safest Haven
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Cogito Tech LLC goes a step further to be SOC2 Type II certified center for processing your data and adhere to the international standards of Data security
Being a data processing company, its crucial to work with confidential and extensively classified data appropriately. To give our clients this mental peace, we have invested heavily in keeping appropriate kind of security protocols and controls in place - Mr. Rohan Aggarwal, Co-Founder & CEO, Cogito
LEVITTOWN, N.Y. (PRWEB)
May 17, 2021
Rohan Agarwal, CEO of Cogito, humbly admits that the time-taking process of achieving SOC 2 TYPE 2, & adding up to their other certification namely, HIPAA, GDPR, and CCPA, have made them the first choice for many. It becomes a prominent reason why new and old clients seeking data-related services ar ....

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