Advances on Pattern Recognition Applications and Methods 2022

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Journal

SN Computer Science

SN Computer Science is a broad-based, hybrid, peer reviewed journal that publishes original research in all the disciplines of computer science including various inter-disciplinary...

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Ana Fred

Instituto de Telecomunicações and University of Lisbon, Portugal
Maria De Marsico

Sapienza Università di Roma, Italy
Gabriella Sanniti di Baja

Italian National Research Council CNR, Italy

Showing 1-7 of 7 articles

SD-YOLOv5: Implementation of Real-Time Staircase Detection on Jetson Nano Board
Bhupendra Fataniya
Akash Mecwan
Jatin Dave
Original Research 03 April 2025 Article: 340
Multiple Teacher Knowledge Distillation for Head Pose Estimation Without Keypoints
Chien Thai
Ninh Nham
Hai Tran
Original Research 29 September 2023 Article: 758
Neural Network-Based Human Motion Predictor and Smoother
Stella Graßhof
Mathias Bastholm
Sami S. Brandt
Original Research Open access 29 September 2023 Article: 760
Building Multiple Classifier Systems Using Linear Combinations of Reduced Graphs
Anthony Gillioz
Kaspar Riesen
Original Research Open access 27 September 2023 Article: 743
Learning Biometric Representations with Mutually Independent Features Using Convolutional Autoencoders
Riccardo Musto
Ridvan Salih Kuzu
Patrizio Campisi
Original Research Open access 14 August 2023 Article: 619
EuclidNets: An Alternative Operation for Efficient Inference of Deep Learning Models
Xinlin Li
Mariana Parazeres
Vahid Partovi Nia
Original Research 30 June 2023 Article: 507
Training Integer-Only Deep Recurrent Neural Networks
Vahid Partovi Nia
Eyyüb Sari
Masoud Asgharian
Original Research 29 June 2023 Article: 501

Advances on Pattern Recognition Applications and Methods 2022

Participating journal

SN Computer Science

Editors

Ana Fred

Maria De Marsico

Gabriella Sanniti di Baja

Articles

SD-YOLOv5: Implementation of Real-Time Staircase Detection on Jetson Nano Board

Multiple Teacher Knowledge Distillation for Head Pose Estimation Without Keypoints

Neural Network-Based Human Motion Predictor and Smoother

Building Multiple Classifier Systems Using Linear Combinations of Reduced Graphs

Learning Biometric Representations with Mutually Independent Features Using Convolutional Autoencoders

EuclidNets: An Alternative Operation for Efficient Inference of Deep Learning Models

Training Integer-Only Deep Recurrent Neural Networks