Search Results for author: Laxmidhar Behera

Found 10 papers, 3 papers with code

Systematic Investigation of Strategies Tailored for Low-Resource Settings for Sanskrit Dependency Parsing

no code implementations27 Jan 2022 Jivnesh Sandhan, Laxmidhar Behera, Pawan Goyal

On the other hand, purely data-driven approaches do not match the performance of hybrid approaches due to the labelled data sparsity.

Data Augmentation Dependency Parsing +2

Prabhupadavani: A Code-mixed Speech Translation Data for 25 Languages

1 code implementation27 Jan 2022 Jivnesh Sandhan, Ayush Daksh, Om Adideva Paranjay, Laxmidhar Behera, Pawan Goyal

Nowadays, code-mixing has become ubiquitous in Natural Language Processing (NLP); however, no efforts have been made to address this phenomenon for Speech Translation (ST) task.

Machine Translation Natural Language Processing +1

Evaluating Neural Word Embeddings for Sanskrit

1 code implementation1 Apr 2021 Jivnesh Sandhan, Om Adideva, Digumarthi Komal, Laxmidhar Behera, Pawan Goyal

To effectively use such readily available resources, it is very much essential to perform a systematic study on word embedding approaches for the Sanskrit language.

Natural Language Processing Word Embeddings

DeepMI: A Mutual Information Based Framework For Unsupervised Deep Learning of Tasks

no code implementations16 Jan 2021 Ashish Kumar, Laxmidhar Behera

The primary motivation behind this work is the limitation of the traditional loss functions for unsupervised learning of a given task.

Domain Independent Unsupervised Learning to grasp the Novel Objects

no code implementations9 Jan 2020 Siddhartha Vibhu Pharswan, Mohit Vohra, Ashish Kumar, Laxmidhar Behera

In this paper, we present a novel unsupervised learning based algorithm for the selection of feasible grasp regions.

Real-time Grasp Pose Estimation for Novel Objects in Densely Cluttered Environment

no code implementations3 Jan 2020 Mohit Vohra, Ravi Prakash, Laxmidhar Behera

In this paper, a real-time grasp pose estimation strategy for novel objects in robotic pick and place applications is proposed.

Robotics Image and Video Processing

Optimal Convergence Rate in Feed Forward Neural Networks using HJB Equation

no code implementations27 Apr 2015 Vipul Arora, Laxmidhar Behera, Ajay Pratap Yadav

It is hoped that the proposed algorithm will bring in a lot of interest in researchers working in developing fast learning algorithms and global optimization.

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