Výsledky vyhledávání - "Waghmare, Govind"

Report

A Scalable Approach to Covariate and Concept Drift Management via Adaptive Data Segmentation

Autor: Yarabolu, Vennela, Waghmare, Govind, Gupta, Sonia, Asthana, Siddhartha

In many real-world applications, continuous machine learning (ML) systems are crucial but prone to data drift, a phenomenon where discrepancies between historical training data and future test data lead to significant performance degradation and oper

Externí odkaz: http://arxiv.org/abs/2411.15616

Zobrazit plný text záznamu

Report

Modeling Inter-Dependence Between Time and Mark in Multivariate Temporal Point Processes

Autor: Waghmare, Govind, Debnath, Ankur, Asthana, Siddhartha, Malhotra, Aakarsh

Temporal Point Processes (TPP) are probabilistic generative frameworks. They model discrete event sequences localized in continuous time. Generally, real-life events reveal descriptive information, known as marks. Marked TPPs model time and marks of

Externí odkaz: http://arxiv.org/abs/2210.15294

Zobrazit plný text záznamu

Akademický článek

Multi-response optimization for a low-cost multi-dimpling process

Autor: Waghmare, Govind, Arakerimath, Rachayya Rudramuni

Publikováno v: International Journal of Quality & Reliability Management, 2023, Vol. 40, Issue 10, pp. 2443-2462.

Externí odkaz: http://www.emeraldinsight.com/doi/10.1108/IJQRM-12-2022-0343

Zobrazit plný text záznamu

Report

Unsupervised Cross-Modal Alignment for Multi-Person 3D Pose Estimation

Autor: Kundu, Jogendra Nath, Revanur, Ambareesh, Waghmare, Govind Vitthal, Venkatesh, Rahul Mysore, Babu, R. Venkatesh

We present a deployment friendly, fast bottom-up framework for multi-person 3D human pose estimation. We adopt a novel neural representation of multi-person 3D pose which unifies the position of person instances with their corresponding 3D pose repre

Externí odkaz: http://arxiv.org/abs/2008.01388

Zobrazit plný text záznamu