Objective: The main objective of this report is to showcase the impact that the blockchain is creating in the field of cybersecurity. This report also explains the rise of security levels for combining blockchain technology in enterprise and business technologies. Read more…
Scale-Space Blob Detection Implementing a Laplacian blob detector in python from scratch Features generated from Harris Corner Detector are not invariant to scale. For feature tracking, we need features which are invariant to affine transformations. Laplacian blob detector is one Read more…
Why do we need RAID: We experience data loss problems from even the most advanced data storage devices that are available in market.we experience data loss problem at any time and at any place. we can loose our hours of Read more…
Issues in Training: Generator Diminished Gradient: Discriminator gets too successful that the generator gradient vanishes and learns nothing. As seen earlier the training of a GAN is typically alternating between Gradient Ascent on Discriminator and Gradient Descent on Generator. But Read more…
The world is your oyster, or really the shell is your oyster. What is the shell? The shell is basically a program that takes your commands from the keyboard and sends them to the operating system to perform. If you’ve Read more…
Face Recognition: Before looking into what face recognition is and how it works, let us understand the difference between face recognition and face verification. Face Verification checks “is this the claimed person?”. For example, in school, you go with your ID Read more…
GAN are Generative Adversarial networks. GANs are neural networks that generate synthetic data given certain input data. The main goal is unsupervised sampling from complex high dimensional distribution. And this is done by taking samples from random noise and learn the transformation to input distribution
Introduction: Face Recognition problems can be broadly classified into two categories ⦁ Face Verification: Identifying if the given face is of the claimed person ⦁ Face Recognition: Identifying different instances (of faces) of the claimed person Other type of problems Read more…
overview: Machine Learning is the use of computers to highlight the true meaning of the data, in order to convert the unordered data into useful information. It is a multi-disciplinary subject involving many disciplines such as probability theory, statistics, approximation theory, Read more…
Microcontrollers are used in automatically controlled products and devices, such as automobile engine control systems, implantable medical devices, remote controls, office machines, appliances, power tools, toys and other embedded systems. By reducing the size and cost compared to a design that uses a Read more…
