Santanu Chaudhury

TL;DR: In this article, a spatio-contextual Gaussian mixture model based background subtraction method is used to detect prominent objects among a large group of fishes in a stationary camera setup, and the detected objects are analyzed to determine a predefined number of the most prominent objects in the scene of view.

TL;DR: An MIMD algorithm for the detection of constant curvature features in an image of man-made objects by intelligent partitioning of the edge points belonging to the object contour into logical divisions so that geometric token extraction algorithm for each partition can work independently.

TL;DR: This paper used a two step approach in which it first identify full research papers corresponding to each conference of interest and then train two variants of exponential smoothing models to make predictions, which achieves an overall score of 0.7508, while the winning submission scored 0.7656.

TL;DR: An optimal feature extraction technique that selects only the salient features of an object that exploits the fact that features tend to form clusters in the feature space based on their similarity of appearances is proposed.

TL;DR: The journey from a relational database management system (RDBMS) based campaign management solution which allowed data scientists and marketers to use hand-written rules for service personalization and targeted promotions to a distributed Big Data Analytics platform, capable of performing large scale machine learning and data mining to deliver real time service person-alization, predictive modelling and product optimization is described.