Posts by Tags

The Traveling Salesman Problem - Using Ant Algorithms

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As I had promised, this post will be about using the Ant algorithms I had discussed in the previous post to solve a complex computational problem. But, before we go on, let us have a look again at Ant Colony optimization. Read more

VLAD- An extension of Bag of Words

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Recently, I was a participant at TagMe- an image categorization competition conducted by Microsoft and Indian Institute of Science, Bangalore. The problem statement was to classify a set of given images into five classes: faces, shoes, flowers, buildings and vehicles. As it goes, it is not a trivial problem to solve. So, I decided to attempt my existing bag-of-words algorithm on that. It worked to an extent, I got an accuracy of 86% approximately with SIFT features and an RBF SVM for classification. In order to improve my score though, I decided to look at better methods of feature quantization. I had been looking at VLAD (Vector of Locally Aggregated Descriptors): A first order extension to BoW for my Leaf Recognition project. Read more

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Computer Vision

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It’s been ages since I last posted here. But it is time to reboot this blog. Read more

An Interesting History of Computer Vision Permalink

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Dr. Fei Fei Li from Stanford discusses the advent and growth of computer vision in recent years. Particularly intersting is her recent research on multimodal interactions and large scale visual recognition. This has been primarily made possible due to the growth in GPU technology. I hope to try out Theano and Caffe for deep learning in this scenario soon. Read more

VLAD- An extension of Bag of Words

Published:

Recently, I was a participant at TagMe- an image categorization competition conducted by Microsoft and Indian Institute of Science, Bangalore. The problem statement was to classify a set of given images into five classes: faces, shoes, flowers, buildings and vehicles. As it goes, it is not a trivial problem to solve. So, I decided to attempt my existing bag-of-words algorithm on that. It worked to an extent, I got an accuracy of 86% approximately with SIFT features and an RBF SVM for classification. In order to improve my score though, I decided to look at better methods of feature quantization. I had been looking at VLAD (Vector of Locally Aggregated Descriptors): A first order extension to BoW for my Leaf Recognition project. Read more

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Giving eyes to a micro controller: DCMI interface on an STM32F4 Permalink

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It has been another long hiatus between posts. But, I have managed to learn and do quite a bit of stuff in these last few months and it has been rewarding to say the least. Read more

Deep Learning

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It’s been ages since I last posted here. But it is time to reboot this blog. Read more

Ant Colony Algorithms

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Hey guys, Thanks for the great response on my previous article. Read more

Giving eyes to a micro controller: DCMI interface on an STM32F4 Permalink

Published:

It has been another long hiatus between posts. But, I have managed to learn and do quite a bit of stuff in these last few months and it has been rewarding to say the least. Read more

An Interesting History of Computer Vision Permalink

Published:

Dr. Fei Fei Li from Stanford discusses the advent and growth of computer vision in recent years. Particularly intersting is her recent research on multimodal interactions and large scale visual recognition. This has been primarily made possible due to the growth in GPU technology. I hope to try out Theano and Caffe for deep learning in this scenario soon. Read more

An Interesting History of Computer Vision Permalink

Published:

Dr. Fei Fei Li from Stanford discusses the advent and growth of computer vision in recent years. Particularly intersting is her recent research on multimodal interactions and large scale visual recognition. This has been primarily made possible due to the growth in GPU technology. I hope to try out Theano and Caffe for deep learning in this scenario soon. Read more

VLAD- An extension of Bag of Words

Published:

Recently, I was a participant at TagMe- an image categorization competition conducted by Microsoft and Indian Institute of Science, Bangalore. The problem statement was to classify a set of given images into five classes: faces, shoes, flowers, buildings and vehicles. As it goes, it is not a trivial problem to solve. So, I decided to attempt my existing bag-of-words algorithm on that. It worked to an extent, I got an accuracy of 86% approximately with SIFT features and an RBF SVM for classification. In order to improve my score though, I decided to look at better methods of feature quantization. I had been looking at VLAD (Vector of Locally Aggregated Descriptors): A first order extension to BoW for my Leaf Recognition project. Read more

Giving eyes to a micro controller: DCMI interface on an STM32F4 Permalink

Published:

It has been another long hiatus between posts. But, I have managed to learn and do quite a bit of stuff in these last few months and it has been rewarding to say the least. Read more

VLAD- An extension of Bag of Words

Published:

Recently, I was a participant at TagMe- an image categorization competition conducted by Microsoft and Indian Institute of Science, Bangalore. The problem statement was to classify a set of given images into five classes: faces, shoes, flowers, buildings and vehicles. As it goes, it is not a trivial problem to solve. So, I decided to attempt my existing bag-of-words algorithm on that. It worked to an extent, I got an accuracy of 86% approximately with SIFT features and an RBF SVM for classification. In order to improve my score though, I decided to look at better methods of feature quantization. I had been looking at VLAD (Vector of Locally Aggregated Descriptors): A first order extension to BoW for my Leaf Recognition project. Read more

Published:

VLAD- An extension of Bag of Words

Published:

Recently, I was a participant at TagMe- an image categorization competition conducted by Microsoft and Indian Institute of Science, Bangalore. The problem statement was to classify a set of given images into five classes: faces, shoes, flowers, buildings and vehicles. As it goes, it is not a trivial problem to solve. So, I decided to attempt my existing bag-of-words algorithm on that. It worked to an extent, I got an accuracy of 86% approximately with SIFT features and an RBF SVM for classification. In order to improve my score though, I decided to look at better methods of feature quantization. I had been looking at VLAD (Vector of Locally Aggregated Descriptors): A first order extension to BoW for my Leaf Recognition project. Read more

Published:

The Traveling Salesman Problem - Using Ant Algorithms

Published:

As I had promised, this post will be about using the Ant algorithms I had discussed in the previous post to solve a complex computational problem. But, before we go on, let us have a look again at Ant Colony optimization. Read more

Ant Colony Algorithms

Published:

Hey guys, Thanks for the great response on my previous article. Read more

Ant Colony Algorithms

Published:

Hey guys, Thanks for the great response on my previous article. Read more

Published:

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Giving eyes to a micro controller: DCMI interface on an STM32F4 Permalink

Published:

It has been another long hiatus between posts. But, I have managed to learn and do quite a bit of stuff in these last few months and it has been rewarding to say the least. Read more

An Interesting History of Computer Vision Permalink

Published:

Dr. Fei Fei Li from Stanford discusses the advent and growth of computer vision in recent years. Particularly intersting is her recent research on multimodal interactions and large scale visual recognition. This has been primarily made possible due to the growth in GPU technology. I hope to try out Theano and Caffe for deep learning in this scenario soon. Read more

The Traveling Salesman Problem - Using Ant Algorithms

Published:

As I had promised, this post will be about using the Ant algorithms I had discussed in the previous post to solve a complex computational problem. But, before we go on, let us have a look again at Ant Colony optimization. Read more

VLAD- An extension of Bag of Words

Published:

Recently, I was a participant at TagMe- an image categorization competition conducted by Microsoft and Indian Institute of Science, Bangalore. The problem statement was to classify a set of given images into five classes: faces, shoes, flowers, buildings and vehicles. As it goes, it is not a trivial problem to solve. So, I decided to attempt my existing bag-of-words algorithm on that. It worked to an extent, I got an accuracy of 86% approximately with SIFT features and an RBF SVM for classification. In order to improve my score though, I decided to look at better methods of feature quantization. I had been looking at VLAD (Vector of Locally Aggregated Descriptors): A first order extension to BoW for my Leaf Recognition project. Read more

The Traveling Salesman Problem - Using Ant Algorithms

Published:

As I had promised, this post will be about using the Ant algorithms I had discussed in the previous post to solve a complex computational problem. But, before we go on, let us have a look again at Ant Colony optimization. Read more

VLAD- An extension of Bag of Words

Published:

Recently, I was a participant at TagMe- an image categorization competition conducted by Microsoft and Indian Institute of Science, Bangalore. The problem statement was to classify a set of given images into five classes: faces, shoes, flowers, buildings and vehicles. As it goes, it is not a trivial problem to solve. So, I decided to attempt my existing bag-of-words algorithm on that. It worked to an extent, I got an accuracy of 86% approximately with SIFT features and an RBF SVM for classification. In order to improve my score though, I decided to look at better methods of feature quantization. I had been looking at VLAD (Vector of Locally Aggregated Descriptors): A first order extension to BoW for my Leaf Recognition project. Read more

Future Blog Post

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This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false. Read more

Future Blog Post

Published:

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false. Read more

Future Blog Post

Published:

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false. Read more

Color Predicates

Published:

It’s been a long time since I posted something here. But here it is. Read more

The Traveling Salesman Problem - Using Ant Algorithms

Published:

As I had promised, this post will be about using the Ant algorithms I had discussed in the previous post to solve a complex computational problem. But, before we go on, let us have a look again at Ant Colony optimization. Read more

Ant Colony Algorithms

Published:

Hey guys, Thanks for the great response on my previous article. Read more

The Traveling Salesman Problem - Using Ant Algorithms

Published:

As I had promised, this post will be about using the Ant algorithms I had discussed in the previous post to solve a complex computational problem. But, before we go on, let us have a look again at Ant Colony optimization. Read more

Published:

Published:

The Traveling Salesman Problem - Using Ant Algorithms

Published:

As I had promised, this post will be about using the Ant algorithms I had discussed in the previous post to solve a complex computational problem. But, before we go on, let us have a look again at Ant Colony optimization. Read more

Ant Colony Algorithms

Published:

Hey guys, Thanks for the great response on my previous article. Read more

Color Predicates

Published:

It’s been a long time since I posted something here. But here it is. Read more

VLAD- An extension of Bag of Words

Published:

Recently, I was a participant at TagMe- an image categorization competition conducted by Microsoft and Indian Institute of Science, Bangalore. The problem statement was to classify a set of given images into five classes: faces, shoes, flowers, buildings and vehicles. As it goes, it is not a trivial problem to solve. So, I decided to attempt my existing bag-of-words algorithm on that. It worked to an extent, I got an accuracy of 86% approximately with SIFT features and an RBF SVM for classification. In order to improve my score though, I decided to look at better methods of feature quantization. I had been looking at VLAD (Vector of Locally Aggregated Descriptors): A first order extension to BoW for my Leaf Recognition project. Read more

Published: