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Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications : 27th Iberoamerican Congress, CIARP 2024, Talca, Chile, November 26–29, 2024, Proceedings, Part I / edited by Ruber Hernández-García, Ricardo J. Barrientos, Sergio A. Velastin.

Springer Nature - Springer Computer Science (R0) eBooks 2025 English International Available online

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Format:
Book
Author/Creator:
Hernández-García, Ruber.
Contributor:
Barrientos, Ricardo J.
Velastin, Sergio A.
Series:
Lecture Notes in Computer Science, 1611-3349 ; 15368
Language:
English
Subjects (All):
Pattern recognition systems.
Machine learning.
Computer vision.
Computer engineering.
Computer networks.
Automated Pattern Recognition.
Machine Learning.
Computer Vision.
Computer Engineering and Networks.
Local Subjects:
Automated Pattern Recognition.
Machine Learning.
Computer Vision.
Computer Engineering and Networks.
Physical Description:
1 online resource (0 pages)
Edition:
1st ed. 2025.
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Summary:
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.
Contents:
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.
Notes:
Description based on publisher supplied metadata and other sources.
Other Format:
Print version: Hernández-García, Ruber Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
ISBN:
9783031766077
OCLC:
1472989812

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