Deep Networks: A Rebooot Permalink
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It’s been ages since I last posted here. But it is time to reboot this blog. Read more
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It’s been ages since I last posted here. But it is time to reboot this blog. Read more
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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
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Hey guys, Thanks for the great response on my previous article. Read more
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Recently, I have been fascinated by algorithms generally used for AI. Simulated Annealing is one of the basic algorithms for finding solutions a constrained problem. I have been greatly helped along this path by a book : Artificial Intelligence Application Programming(1st edition) by M. Tim Jones. Read more
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Couple of days ago, I was shown this video by one of my friends. Read more
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It’s been ages since I last posted here. But it is time to reboot this blog. Read more
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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
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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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Hey guys, Read more
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Hey guys, Read more
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It’s been a long time since I posted something here. But here it is. Read more