Zobrazeno 1 - 10
of 7 534
pro vyhledávání: '"A Shanbhag"'
Autor:
Shanbhag, Arundhati S., Moser, Brian B., Nauen, Tobias C., Frolov, Stanislav, Raue, Federico, Dengel, Andreas
Diffusion models, known for their generative capabilities, have recently shown unexpected potential in image classification tasks by using Bayes' theorem. However, most diffusion classifiers require evaluating all class labels for a single classifica
Externí odkaz:
http://arxiv.org/abs/2411.12073
The high cost of obtaining accurate annotations for image segmentation and localization makes the use of one and few shot algorithms attractive. Several state-of-the-art methods for few-shot segmentation have emerged, including text-based prompting f
Externí odkaz:
http://arxiv.org/abs/2410.09759
Autor:
Sundaresha, Vignesh, Shanbhag, Naresh
The ubiquitous deployment of deep learning systems on resource-constrained Edge devices is hindered by their high computational complexity coupled with their fragility to out-of-distribution (OOD) data, especially to naturally occurring common corrup
Externí odkaz:
http://arxiv.org/abs/2410.07691
Autor:
Shanbhag, Sachin, Erlebacher, Gordon
We propose sparse regression as an alternative to neural networks for the discovery of parsimonious constitutive models (CMs) from oscillatory shear experiments. Symmetry and frame-invariance are strictly imposed by using tensor basis functions to is
Externí odkaz:
http://arxiv.org/abs/2408.10762
Single-shot magnetic resonance (MR) imaging acquires the entire k-space data in a single shot and it has various applications in whole-body imaging. However, the long acquisition time for the entire k-space in single-shot fast spin echo (SSFSE) MR im
Externí odkaz:
http://arxiv.org/abs/2409.07457
Vision-language models have emerged as a powerful tool for previously challenging multi-modal classification problem in the medical domain. This development has led to the exploration of automated image description generation for multi-modal clinical
Externí odkaz:
http://arxiv.org/abs/2405.20735
Autor:
S, Selva Kumar, Khan, Afifah Khan Mohammed Ajmal, Banday, Imadh Ajaz, Gada, Manikantha, Shanbhag, Vibha Venkatesh
This research introduces an innovative AI-driven precision agriculture system, leveraging YOLOv8 for disease identification and Retrieval Augmented Generation (RAG) for context-aware diagnosis. Focused on addressing the challenges of diseases affecti
Externí odkaz:
http://arxiv.org/abs/2405.01310
Publikováno v:
Physics of Fluids 36, 053104 (2024)
Harmonic balance (HB) is a popular Fourier-Galerkin method used in the analysis of nonlinear vibration problems where dynamical systems are subjected to periodic forcing. We adapt HB to find the periodic steady-state response of nonlinear differentia
Externí odkaz:
http://arxiv.org/abs/2403.05971
Autor:
Shanbhag, Soham, Chang, Dong Eui
We propose a modification technique for discrete time systems for exponentially fast convergence to compact sets. The extension technique allows us to use tools defined on Euclidean spaces to systems evolving on manifolds by modifying the dynamics of
Externí odkaz:
http://arxiv.org/abs/2401.11200
Autor:
Shanbhag, Soham, Chang, Dong Eui
In this paper, a machine learning based observer for systems evolving on manifolds is designed such that the state of the observer is restricted to the Lie group on which the system evolves. Conventional techniques involving machine learning based ob
Externí odkaz:
http://arxiv.org/abs/2401.11196