Zobrazeno 1 - 10
of 245
pro vyhledávání: '"Lima, Joao Paulo"'
Autor:
de Lima, João Paulo Cardoso, Morris III, Benjamin Franklin, Khan, Asif Ali, Castrillon, Jeronimo, Jones, Alex K.
Big data processing has exposed the limits of compute-centric hardware acceleration due to the memory-to-processor bandwidth bottleneck. Consequently, there has been a shift towards memory-centric architectures, leveraging substantial compute paralle
Externí odkaz:
http://arxiv.org/abs/2409.10136
In today's data-centric world, where data fuels numerous application domains, with machine learning at the forefront, handling the enormous volume of data efficiently in terms of time and energy presents a formidable challenge. Conventional computing
Externí odkaz:
http://arxiv.org/abs/2401.14428
The accuracy of neural networks has greatly improved across various domains over the past years. Their ever-increasing complexity, however, leads to prohibitively high energy demands and latency in von Neumann systems. Several computing-in-memory (CI
Externí odkaz:
http://arxiv.org/abs/2401.12630
Autor:
Farzaneh, Hamid, de Lima, João Paulo Cardoso, Li, Mengyuan, Khan, Asif Ali, Hu, Xiaobo Sharon, Castrillon, Jeronimo
Machine learning and data analytics applications increasingly suffer from the high latency and energy consumption of conventional von Neumann architectures. Recently, several in-memory and near-memory systems have been proposed to remove this von Neu
Externí odkaz:
http://arxiv.org/abs/2309.06418
We unveil how generalizable AI can be used to improve multi-view 3D pedestrian detection in unlabeled target scenes. One way to increase generalization to new scenes is to automatically label target data, which can then be used for training a detecto
Externí odkaz:
http://arxiv.org/abs/2308.04515
Autor:
de Sousa, Erlânio Oliveira, Brito, Anielle dos Santos, Feitoza, Denise Magalhães Azevedo, Ribeiro, Aureliano de Albuquerque, Tavares, Victória Hellen Nicácio Dias, Costa, Mayra Garcia Maia, Nobre, Crisiana de Andrade, Oliveira-Tintino, Cícera Datiane de Morais, Borges, João Arthur de Oliveira, de Araújo, Gildênia Alves, Moura, Talysson Felismino, de Lima, João Paulo Martins, Florencio, Sloana Giesta Lemos, Coutinho, Henrique Douglas Melo, de Menezes, Irwin Rose Alencar, Tintino, Saulo Relison
Publikováno v:
In Food Chemistry Advances December 2024 5
Publikováno v:
In Computers & Graphics November 2024 124
Autor:
de Sena Miranda, Lorena Raquel, Cardoso, Camilla Carla do Nascimento Dantas, Almeida, Addison Ribeiro, do Nascimento, Maria do Socorro Medeiros Amarante, Pinheiro, Francisco Ayrton Senna Domingos, de Moura, Sérgio Adriane Bezerra, de Lima, João Paulo Maia, de Lima, Ádley Antonini Neves, Barbosa, Euzébio Guimarães, Morais, Waldenice de Alencar, Camillo, Christina da Silva
Publikováno v:
In Journal of Drug Delivery Science and Technology June 2024 96
Autor:
Lima, João Paulo Resende de, Casa Nova, Silvia Pereira de Castro, Vendramin, Elisabeth de Oliveira
Publikováno v:
In Critical Perspectives on Accounting March 2024 99
We present a multi-camera 3D pedestrian detection method that does not need to train using data from the target scene. We estimate pedestrian location on the ground plane using a novel heuristic based on human body poses and person's bounding boxes f
Externí odkaz:
http://arxiv.org/abs/2104.05813