Email: ey.s.t@edruhabkkleeacp unscramble
My name is Vineet.
I am second year student pursuing Post Graduate Program in Analytics (jointly offered by Indian Statistical Institute, IIT Kharagpur, and IIM Calcutta). I graduated with a B.E in Computer Sc. & Engg. from Jadavpur University, Kolkata. In past I have spent some wonderful time at Intel Corporations, Xerox Research. My current academic research interests are primarily focused on Machine Learning, NLP & Applied Cryptology.
In this work we describe our approach for domain specific (#MeToo movement) tweets classification with severe class imbalance into five linguistic aspects. Our approach ranked first in IEEE BigMM Grand Challenge.
This work describes our approach to NTIRE 2020 challenge on real image denoising.
This work aims to examine musical instrument classification. We used musical clips recorded from various sources and built supervised and unsupervised models using spectral features.
In this work we propose a distributed method for common factor attack to RSA Moduli
Instructional Videos have given an open challenge to all current
methods of education system. They have high potential of
acceptability among all kind of learners. Instructional Videos have
become a label for many recent course initiatives from higher
education institution. We believe that Instructional Videos are
going to be next generation textbooks.
The Goal of this Project is to automatically identify the locations
where the topic has changed in an instructional video. We
specifically want to explore techniques that use acoustic (i.e.
Material Understanding in 3D Models using Kinect: Captured stereo RGBD images using Microsoft Kinect v2. Used InfiniTAM Reconstruction framework to build 3D Reconstruction model using captured color & depth images. Integrated a CNN based semantic segmentation library with InfiniTAM Model to understand the material in the reconstructed 3D model.
With advancements in digital communication & security online shopping has garnered a significant pace since last decade. Most shopping websites allows buyers to share their feedback (reviews) about their purchased product. Since there are lots of reviews & they are mostly unstructured text – it is difficult to employ any data mining techniques to get interesting (non-trivial, implicit, previously unknown and potentially useful) information. It is also difficult to build an opinion mining application to compare various product models to make a purchase decision. These comparisons should be based on the features or aspects of the products. In this work, we explored Non negative Matrix Factorization based techniques to extract aspects from the raw reviews.
Programmed and debugged the fully functional command line and GUI based simulator for SIC Assembler. The Simplified Instructional Computer (also abbreviated SIC) is a hypothetical computer system that is used to learn systems programming.
Last Updated: 30 • Oct • 2020
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