Search Results - "Jordao, Artur"

Oblique random forest based on partial least squares applied to pedestrian detection by Lima Correia, Artur Jordao, Schwartz, William Robson

“…The increasing popularity of approaches based on random forest in computer vision tasks is due to its simplicity and flexibility with complex data. Random…”
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On the Effect of Pruning on Adversarial Robustness by Jordao, Artur, Pedrini, Helio

“…Pruning is a well-known mechanism for reducing the computational cost of deep convolutional networks. However, studies have shown the potential of pruning as a…”
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Deep network compression based on partial least squares by Jordao, Artur, Yamada, Fernando, Schwartz, William Robson

“…•Discriminative pruning approach.•The method removes neurons (filters) with negligible or no loss in accuracy.•The method attains the highest FLOPs reduction…”
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Acute Effects of the Consumption of Passiflora setacea Juice on Metabolic Risk Factors and Gene Expression Profile in Humans by Duarte, Isabella de Araújo Esteves, Milenkovic, Dragan, Borges, Tatiana Karla Dos Santos, Rosa, Artur Jordão de Magalhães, Morand, Christine, Oliveira, Livia de Lacerda de, Costa, Ana Maria

“…(PS) is a passionfruit variety of the Brazilian savannah and is a rich source of plant food bioactives with potential anti-inflammatory activity. This study…”
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Discriminative Layer Pruning for Convolutional Neural Networks by Jordao, Artur, Lie, Maiko, Schwartz, William Robson

“…The predictive ability of convolutional neural networks (CNNs) can be improved by increasing their depth. However, increasing depth also increases…”
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Humoral and cell-mediated immune responses to different doses of attenuated vaccine against avian infectious bronchitis virus by Okino, Cintia Hiromi, Alessi, Antônio Carlos, Montassier, Maria de Fátima Silva, Rosa, Artur Jordão de Magalhães, Wang, Xiuqing, Montassier, Hélio José

“…The antibody and cellular immune responses against infectious bronchitis virus (IBV) were evaluated at mucosal sites of chickens after immunization with…”
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Towards automatic and accurate core-log processing by Jordao, Artur, Souza, Joao Paulo da Ponte, Kuroda, Michelle Chaves, de Rezende, Marcelo Fagundes, Pedrini, Helio, Vidal, Alexandre Campane

“…The analysis of rocks plays an important role in geological and petroleum-engineering problems. In these tasks, core (i.e., core-log) is a crucial element…”
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Novel approaches to human activity recognition based on accelerometer data by Jordao, Artur, Torres, Leonardo Antônio Borges, Schwartz, William Robson

“…An increasing number of works have investigated the use of convolutional neural network (ConvNets) approaches to perform human activity recognition (HAR) based…”
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Stage-Wise Neural Architecture Search by Jordao, Artur, Akio, Fernando, Lie, Maiko, Schwartz, William Robson

“…Modern convolutional networks such as ResNet and NASNet have achieved state-of-the-art results in many computer vision applications. These architectures…”
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Covariance-free Partial Least Squares: An Incremental Dimensionality Reduction Method by Jordao, Artur, Lie, Maiko, Cunha de Melo, Victor Hugo, Robson Schwartz, William

“…Dimensionality reduction plays an important role in computer vision problems since it reduces computational cost and is often capable of yielding more…”
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SIMULADOR DE UCP COM SUPORTE À MEMÓRIA CACHE E PIPELINE by Correia, Artur Jordão Lima, Pazoti, Mario Augusto, Silva, Francisco Assis da, Almeida, Leandro Luiz de, Pereira, Danillo Roberto

“…A common problem in computer architecture disciplines is the real dynamics of the processes occurring internally in hardware. The working of a CPU, for…”
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On the Effect of Pruning on Adversarial Robustness by Jordao, Artur, Pedrini, Helio

“…Pruning is a well-known mechanism for reducing the computational cost of deep convolutional networks. However, studies have shown the potential of pruning as a…”
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A late fusion approach to combine multiple pedestrian detectors by Jordao, Artur, Sena de Souza, Jessica, Robson Schwartz, William

“…Pedestrian detection is a well-known problem in Computer Vision. To improve detection, several feature descriptors have been proposed and combined. However,…”
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Effective Layer Pruning Through Similarity Metric Perspective by Pons, Ian, Yamamoto, Bruno, Costa, Anna H. Reali, Jordao, Artur

“…Deep neural networks have been the predominant paradigm in machine learning for solving cognitive tasks. Such models, however, are restricted by a high…”
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Layer Pruning with Consensus: A Triple-Win Solution by Mugnaini, Leandro Giusti, Duarte, Carolina Tavares, Costa, Anna H. Reali, Jordao, Artur

“…Layer pruning offers a promising alternative to standard structured pruning, effectively reducing computational costs, latency, and memory footprint. While…”
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A content-based late fusion approach applied to pedestrian detection by Sena, Jessica, Jordão, Artur, Schwartz, William Robson

“…•A weighted pedestrian detection fusion based on regression method is proposed.•Spatial consensus and content information are integrated into a pedestrian…”
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Detection and Classification of Animal Crossings on Roads Using IoT-Based WiFi Sensing by Ducca, Samuel Vieira, Jordao, Artur, Margi, Cintia Borges

“…Road traffic accidents involving animals cause great health, environmental and monetary costs every year, specially on rural areas. Current animal detection…”
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When Layers Play the Lottery, all Tickets Win at Initialization by Jordao, Artur, de Araujo, George Correa, Maia, Helena de Almeida, Pedrini, Helio

“…Pruning is a standard technique for reducing the computational cost of deep networks. Many advances in pruning leverage concepts from the Lottery Ticket…”
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When Layers Play the Lottery, all Tickets Win at Initialization by Jordao, Artur, de Araujo, George, de Almeida Maia, Helena, Pedrini, Helio

“…Pruning is a standard technique for reducing the computational cost of deep networks. Many advances in pruning leverage concepts from the Lottery Ticket…”
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Latent HyperNet: Exploring the Layers of Convolutional Neural Networks by Jordao, Artur, Kloss, Ricardo, Schwartz, William Robson

“…Since Convolutional Neural Networks (ConvNets) are able to simultaneously learn features and classifiers to discriminate different categories of activities,…”
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