Hernández-García / Barrientos / Velastin Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

27th Iberoamerican Congress, CIARP 2024, Talca, Chile, November 26–29, 2024, Proceedings, Part I
Erscheinungsjahr 2024
ISBN: 978-3-031-76607-7
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 272 Seiten

Reihe: Lecture Notes in Computer Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Hernández-García, Ruber

Barrientos, Ricardo J.

Velastin, Sergio A.

Inhaltsverzeichnis

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.