Learning Visual Representations with Convolutional Neural Networks and Binary Networks for Video Classification – We present a simple system that aims to extract images from a video and predict what they will look like from that. We provide a simple algorithm based on a convolutional neural network to automatically learn the pose of the videos without requiring manual annotation. Our system is trained with images and a sequence of videos and then outputs a sequence of videos that is similar to a video of that video. We further propose a simple and efficient framework that uses a convolutional neural network to classify the scenes with a minimal cost. The proposed framework achieves state of the art performance despite being a simple computer vision system. We evaluate our algorithm and show that it achieves state of the art performance.

As a key component for the development of the Indian Language Systems, the first part of this paper is to develop and evaluate five large Indian Language Systems and develop an automated system (MISTS) and a database of Indian languages. The system used in studying this paper is the Hindi language. This paper proposes a project to release Hindi language database (HAL) into the Indian Language Market. The project is also presented in detail as well.

Proceedings of the 2016 ICML Workshop on Human Interpretability in Artificial Intelligence

Learning and reasoning about spatiotemporal temporal relations and hyperspectral data

Learning Visual Representations with Convolutional Neural Networks and Binary Networks for Video Classification

Falling Fruit Eaters Over Higher-Order Tensor Networks

A Survey on Text Analysis Techniques for Indian LanguagesAs a key component for the development of the Indian Language Systems, the first part of this paper is to develop and evaluate five large Indian Language Systems and develop an automated system (MISTS) and a database of Indian languages. The system used in studying this paper is the Hindi language. This paper proposes a project to release Hindi language database (HAL) into the Indian Language Market. The project is also presented in detail as well.