Machine Learning Techniques for Image Processing and Computer Vision @ E & ICT Academy, NIT Warangal

Participants Information

Participants: 41
Speakers:06
Female participants:08
Male participants:33
Participants from SC/ST category:04
Research Scholars:01

Lab Sessions

  • Unsupervised Learning
  • Bayesian Learning and SVM
  • Computer Vision Applications
  • Reinforcement Learning Lab

Topics Covered

  • Overview of Machine Learning
  • Unsupervised Learning
  • Feature selection and Extraction
  • Bayesian Learning and SVM
  • Deep Learning and Models
  • Data Driven Methods
  • Optimization Methods
  • Medical Image Analysis
  • Dimensionality Reduction Methods
  • Computer Vision Applications
  • Reinforcement Learning
  • Medical Image Data Processing
  • Medical Image Segmentation

Highlights

List of Speakers

Dr. Subrahmanya Sastry Challa, Associate Professor, IIT Hyderabad

Prof. R. B. V. Subramanyam, Professor, NIT Warangal

Dr. D. Madan Mohan, Sr. Director(Research), RAKUTEN, Bangalore

Dr. V. Kiran Kumar, Senior Scientific Officer, LVPIE Center for Innovation

Dr. M. Sandhya, Assistant Professor, NIT Warangal

Dr. M. Srinivas, Assistant Professor, NIT Warangal

Feedback Summary

  • Excellent program, Content of the program and presentation was good.

  • The program gave detail idea about the research in image processing and Computer vision using Machine Learning approach.

  • All the presentations of resource persons were good.

  • Very useful FDP for research people.

  • The way of conducting programs was in timely manner.

    • Suggestions from Participants

  • Required more practical sessions and need more explanation in lab sessions.

  • Mathematical concepts should have been explained in more elaborated manner, pre-requisite mathematical contents would give more knowledge.

  • Required hard copy or soft copy to revise and remember the contents delivered in the workshop.