Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

27th Iberoamerican Congress, CIARP 2024, Talca, Chile, November 26¿29, 2024, Proceedings, Part I
Herausgegeben:Hernández-García, Ruber; Barrientos, Ricardo J.; Velastin, Sergio A.

• Broschiertes Buch

Produktbeschreibung

This two-volume set LNCS 15368-15369 constitutes the refereed proceedings of the 27th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, CIARP 2024, held in Talca, Chile, during November 26-29, 2024.
The 35 full and 3 short papers presented in these proceedings were carefully reviewed and selected from 61 submissions. The papers presented in these two volumes are clustered into various thematical issues as follows:
Part I: Mathematical methods and computing techniques for artificial intelligence and pattern recognition, bioinformatics.
Part II: Biometrics, cognitive and humanoid vision, computer vision, image analysis, intelligent data analysis.

Produktdetails

• Lecture Notes in Computer Science 15368
• Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
• Artikelnr. des Verlages: 978-3-031-76606-0
• Seitenzahl: 292
• Erscheinungstermin: 17. November 2024
• Englisch
• Abmessung: 235mm x 155mm x 16mm
• Gewicht: 446g
• ISBN-13: 9783031766060
• ISBN-10: 3031766067
• Artikelnr.: 71783952

Inhaltsangabe

Towards a lightweight CNN for semantic food segmentation.- Ensemble approach to adaptable behavior cloning for a fighting game AI.- TeleoWatch PoseTransformer Based Advanced Action Recognition.- Fruit Deformity Classification through Single Input and Multi Input Architectures based on CNN Models using Real and Synthetic Images.- CNN sensitivity analysis for land cover map models using sparse and heterogeneous satellite data.- Video Game Joystick by Recognizing Breathing Patterns.- Recovering Latent Hierarchical Relationships in Image Datasets Through Hyperbolic Embeddings.- SwinDehazing Haze Removal using U Net and Swin Transformer.- A proposal for explainable fruit quality recognition using multimodal models.- Negative Sampling for Triplet Based Loss Improving Representation in Self Supervised Representation Learning.- Seed based superpixel re segmentation for improving object delineation.- Towards Interactive Video Segmentation by Dynamic and Iterative Spanning Forest.- Data Driven Evolutionary Algorithms for Optimizing Pumping Stations in Water Distribution Networks Classifier Guided Search Space Reduction.- Depth Map Completion using a Specific Graph Metric and Balanced Infinity Laplacian for Autonomous Vehicles.- Beta distribution approach for outlier exposure in multi class text classification.- Impact of Quantization on Large Language Models for Portuguese Classification Tasks.- GemBode and PhiBode Adapting Small Language Models to Brazilian Portuguese.- Hate Speech Detection in Portuguese Using BERTimbau.- An Effective Approach to Text Detection and Recognition in Degraded Historical Documents.