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StereoVision
Boredom-Detection-In-Class
This project is basedPrediction-of-arrival-of-nodes-in-a-Scale-Free-Network
We present in this article, a novel strategy to partially predict the order of node arrivals in such an evolved network. We show that our proposed method outperforms other centrality measure based approaches.twitminer
TwitMiner is a Machine learning contest conducted by Computer Science and Automation department of Indian Institute of Science, Bangalore. The challenge is to predict whether a particular tweet text can be classified to a category of βPoliticsβ or βSportsβ.K-walk-dominating-set
A dominating set for a graph G = (V, E) is a subset D of V, where the set can be reached from any other vertices in less than or equal k steps with a probability involved is greater than half.ingenuitas.github.com
Summer Of Code PageAcademicCV
My CVTesting
Hello World in PythonIntrusion-detection-system
BlameGame
Human-Navigation-Algorithm
Human navigation has been a topic of interest in spatial cognition from the past few decades. It has been experimentally observed that humans accomplish the task of way-finding a destination in an unknown environment by recognizing landmarks. Investigations using network analytic techniques reveal that humans, when asked to way-find their destination, learn the top ranked nodes of a network. In this paper we report a study simulating the strategy used by humans to recognize the centers of a network. We show that the paths obtained from our simulation has the same properties as the paths obtained in human based experiment. The simulation thus performed leads to a novel way of path-finding in a network. We discuss the performance of our method and compare it with the existing techniques to find a path between a pair of nodes in a networkLove Open Source and this site? Check out how you can help us