Search Results for author: Laxmidhar Behera

Found 15 papers, 8 papers with code

High-Speed Detector For Low-Powered Devices In Aerial Grasping

no code implementations22 Feb 2024 Ashish Kumar, Laxmidhar Behera

Autonomous aerial harvesting is a highly complex problem because it requires numerous interdisciplinary algorithms to be executed on mini low-powered computing devices.

object-detection Object Detection

Aesthetics of Sanskrit Poetry from the Perspective of Computational Linguistics: A Case Study Analysis on Siksastaka

1 code implementation14 Aug 2023 Jivnesh Sandhan, Amruta Barbadikar, Malay Maity, Pavankumar Satuluri, Tushar Sandhan, Ravi M. Gupta, Pawan Goyal, Laxmidhar Behera

We provide a deep analysis of Siksastaka, a Sanskrit poem, from the perspective of 6 prominent kavyashastra schools, to illustrate the proposed framework.

SanskritShala: A Neural Sanskrit NLP Toolkit with Web-Based Interface for Pedagogical and Annotation Purposes

1 code implementation19 Feb 2023 Jivnesh Sandhan, Anshul Agarwal, Laxmidhar Behera, Tushar Sandhan, Pawan Goyal

We present a neural Sanskrit Natural Language Processing (NLP) toolkit named SanskritShala (a school of Sanskrit) to facilitate computational linguistic analyses for several tasks such as word segmentation, morphological tagging, dependency parsing, and compound type identification.

Dependency Parsing Morphological Tagging +2

TransLIST: A Transformer-Based Linguistically Informed Sanskrit Tokenizer

1 code implementation21 Oct 2022 Jivnesh Sandhan, Rathin Singha, Narein Rao, Suvendu Samanta, Laxmidhar Behera, Pawan Goyal

Existing lexicon driven approaches for SWS make use of Sanskrit Heritage Reader, a lexicon-driven shallow parser, to generate the complete candidate solution space, over which various methods are applied to produce the most valid solution.

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

1 code implementation27 Jan 2022 Jivnesh Sandhan, Laxmidhar Behera, Pawan Goyal

While these are well-known to the community, it is not trivial to select the best-performing combination of these strategies for a low-resource language that we are interested in, and not much attention has been given to measuring the efficacy of these strategies.

Data Augmentation Dependency Parsing +2

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.

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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