Zobrazeno 1 - 10
of 23 098
pro vyhledávání: '"PAVAN, P."'
In general, the comprehension of any type of complex system depends on the resolution used to look at the phenomena occurring within it. But identifying a priori, for example, the best time frequencies/scales to study a certain system over-time, or t
Externí odkaz:
http://arxiv.org/abs/2412.13741
Autor:
Vasu, Pavan Kumar Anasosalu, Faghri, Fartash, Li, Chun-Liang, Koc, Cem, True, Nate, Antony, Albert, Santhanam, Gokul, Gabriel, James, Grasch, Peter, Tuzel, Oncel, Pouransari, Hadi
Scaling the input image resolution is essential for enhancing the performance of Vision Language Models (VLMs), particularly in text-rich image understanding tasks. However, popular visual encoders such as ViTs become inefficient at high resolutions
Externí odkaz:
http://arxiv.org/abs/2412.13303
Autor:
Bhattacharyya, Arnab, Gayen, Sutanu, Meel, Kuldeep S., Myrisiotis, Dimitrios, Pavan, A., Vinodchandran, N. V.
We investigate some previously unexplored (or underexplored) computational aspects of total variation (TV) distance. First, we give a simple deterministic polynomial-time algorithm for checking equivalence between mixtures of product distributions, o
Externí odkaz:
http://arxiv.org/abs/2412.10370
Extracting from trajectory data meaningful information to understand complex systems might be non-trivial. High-dimensional analyses are typically assumed to be desirable, if not required, to prevent losing important information. However, to what ext
Externí odkaz:
http://arxiv.org/abs/2412.09412
In recent years, the challenge of 3D shape analysis within point cloud data has gathered significant attention in computer vision. Addressing the complexities of effective 3D information representation and meaningful feature extraction for classifica
Externí odkaz:
http://arxiv.org/abs/2412.03052
Autor:
Rivera, Juampablo E. Heras, Chopra, Agamdeep S., Ren, Tianyi, Oswal, Hitender, Pan, Yutong, Sordo, Zineb, Walters, Sophie, Henry, William, Mohammadi, Hooman, Olson, Riley, Rezayaraghi, Fargol, Lam, Tyson, Jaikanth, Akshay, Kancharla, Pavan, Ruzevick, Jacob, Ushizima, Daniela, Kurt, Mehmet
The integration of machine learning in magnetic resonance imaging (MRI), specifically in neuroimaging, is proving to be incredibly effective, leading to better diagnostic accuracy, accelerated image analysis, and data-driven insights, which can poten
Externí odkaz:
http://arxiv.org/abs/2411.17617
We undertake a reassessment of one of the large angular scale anomalies observed in cosmic microwave background (CMB) temperature signal referred to as Hemispherical Power Asymmetry (HPA). For the present analysis we used \texttt{sevem} cleaned CMB m
Externí odkaz:
http://arxiv.org/abs/2411.15786
Optical tweezers have revolutionized particle manipulation at the micro- and nanoscale, playing a critical role in fields such as plasmonics, biophysics, and nanotechnology. While traditional optical trapping methods primarily rely on optical forces
Externí odkaz:
http://arxiv.org/abs/2411.15512
Autor:
Mario, Sushil, Pothamsetti, Pavan Teja, Thalakottor, Louie Antony, Vishwanath, Trisha, A, Sanjay H., Ahmed, Anees, Sinno, Salvatore, Thuravakkath, Shruthi, M, Sinthuja
One of the most well-known problems in transportation and logistics is the Capacitated Vehicle Routing Problem (CVRP). It involves optimizing a set of truck routes to service a set of customers, subject to limits on truck capacity, to reduce travel c
Externí odkaz:
http://arxiv.org/abs/2412.02720
The usual approach on electrostatic wave decay process for a weak beam-plasma system considers two different wave modes interplaying, the Langmuir and ion-sound mode. In the present paper, a single-mode approach is shown to be feasible for conditions
Externí odkaz:
http://arxiv.org/abs/2411.12883