So you have a Django project and you want to use Eclipse IDE to modify and control it. When I say "existing Django project", I mean a Django project created without using Eclipse. If you are not sure how to use Eclipse to manage your Python project, you can check out this blog post. You … Continue reading How To Convert An Existing Django Project To Eclipse Project
Year: 2013
The Intuition Behind Image Watermarking
This is a continuation of my blog post on intro to digital watermarking. In that post, we discussed what digital watermarking is and how it can be achieved. Here, we will discuss the intuition behind image watermarking and a few techniques that can be used. If you look at enough number of images, you will … Continue reading The Intuition Behind Image Watermarking
Digital Watermarking
Let's say you want to verify the authenticity of a signal. The signal can take any form like an image, audio, video, or any other kind of bit stream. By now, everybody would have heard the term "watermark" being used in the general sense. The most common example would be currency notes. Watermarks are embedded … Continue reading Digital Watermarking
Image Steganography
As discussed in my previous post, steganography is the art of hiding the fact that communication is taking place. We achieve this by hiding original information inside other information known as carrier files. Many different carrier file formats can be used, but digital images are the most popular because of their frequency of occurrence on … Continue reading Image Steganography
Steganography
Let's say that we want to communicate with someone secretly. We prefer that only the intended recipient have the ability to decode the contents of the communication. We obviously want to keep the message secret. Sounds familiar? A common solution to this problem is to use encryption. An encryption scheme takes a message and transforms … Continue reading Steganography
Bayes Point Machines
In machine learning, we use a lot of supervised learning models to analyze data and recognize patterns. If we consider the basic problem of binary classification, a machine learning algorithm takes a set of input data and predicts which of two possible classes a particular input belongs to. Kernel-classifiers comprise a powerful class of non-linear … Continue reading Bayes Point Machines
How To Install Valgrind On Mac OS X
As your code gets bigger, keeping track of memory becomes critical. These things often become the source of huge crashes and annoying bugs. Detecting them manually is a very tedious process. So we need a tool to manage all this for us. This is where Valgrind comes into picture. Valgrind is a programming tool for … Continue reading How To Install Valgrind On Mac OS X
What Are Conditional Random Fields?
This is a continuation of my previous blog post. In that post, we discussed about why we need conditional random fields in the first place. We have graphical models in machine learning that are widely used to solve many different problems. But Conditional Random Fields (CRFs) address a critical problem faced by these graphical models. … Continue reading What Are Conditional Random Fields?
Why Do We Need Conditional Random Fields?
This is a two-part discussion. In this blog post, we will discuss the need for conditional random fields. In the next one, we will discuss what exactly they are and how do we use them. The task of assigning labels to a set of observation sequences arises in many fields, including computer vision, bioinformatics, computational … Continue reading Why Do We Need Conditional Random Fields?
Asymmetric Dominance Effect
Let's consider a situation. There is a company with two products, A and B. Both these products have their own merits and demerits. Product A has relatively less features, but it's price is low. Product B, on the other hand, has more features but it's more expensive. Consumers tend to pick both these products depending … Continue reading Asymmetric Dominance Effect
