{"product_id":"9783031995644","title":"Pattern Recognition and Image Analysis : 12th Iberian Conference, IbPRIA 2025, Coimbra, Portugal, June 30 - July 3, 2025, Proceedings, Part I (Lecture Notes in Computer Science 15937) (2025. xxv, 465 S. XXV, 465 p. 139 illus. 235 mm)","description":"\u003cp\u003eThe two volume set LNCS 15937 + 15938 constitutes the proceedings of the 12th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2025, which took place in Coimbra, Portugal, during June 30 July 3, 2025.\u003c\/p\u003e\u003cp\u003eThe 67 full papers included in the proceedings were carefully reviewed and selected from 115 submissions. They were organized in topical sections as follows:\u003c\/p\u003e\u003cp\u003ePart I: Computer vision; faces, body, fingerprints and biometrics; machine and deep learning; explainability, bias and fairness in DL;\u003c\/p\u003e\u003cp\u003ePart II: Natural language processing; biomedical applications; and other applications.\u003c\/p\u003e \u003cp\u003e.- \u003cstrong\u003eComputer Vision\u003c\/strong\u003e.\u003c\/p\u003e\u003cp\u003e.- A continuous, differentiable, probability expressed harm risk estimator for robot actions in dynamic human centric environments.\u003c\/p\u003e\u003cp\u003e.- A Spatial Dense CRF Framework for Post Processing in Multispectral Image Segmentation.\u003c\/p\u003e\u003cp\u003e.- An Optimized Multi class Classification for Industrial Control Systems.\u003c\/p\u003e\u003cp\u003e.- Deformation Aware Butterfly Tracking in Raw Spatio Spectral Images.\u003c\/p\u003e\u003cp\u003e.- Enhancing IoMT security by using Benford s law and distance functions.\u003c\/p\u003e\u003cp\u003e.- Enhancing Multi Object Tracking with Segmentation Masks: A Solution for Lost Object Recovery.\u003c\/p\u003e\u003cp\u003e.- Enriching Unbounded Appearances for Neural Radiance Fields.\u003c\/p\u003e\u003cp\u003e.- Estimating object physical properties from RGB D vision and depth robot sensors using deep learning .\u003c\/p\u003e\u003cp\u003e.- Masking of Gaussian noise in color images: A psychophysical study of just noticeable differences using synthetic image patches of different luminance value.\u003c\/p\u003e\u003cp\u003e.- MixUDA: From Synthetic to Real Object Detection.\u003c\/p\u003e\u003cp\u003e.- Mutual Training Pseud Labeling Framework for Fire Segmentation.\u003c\/p\u003e\u003cp\u003e.- Subfield-Based 1 Attempt Parallel Thinning Algorithms on the Hexagonal Grid.\u003c\/p\u003e\u003cp\u003e.- \u003cstrong\u003eFaces, Body, Fingerprints and Biometrics\u003c\/strong\u003e.\u003c\/p\u003e\u003cp\u003e.- A Geometric and Morphometric Methodology for Evaluating Low Cost 3D Facial Acquisition and Reconstruction Techniques.\u003c\/p\u003e\u003cp\u003e.- Abnormal Human Behaviour Detection using Normalising Flows and Attention Mechanisms.\u003c\/p\u003e\u003cp\u003e.- ECG Based Biometric Identification: An Exloratory Study Using Fingertip Signals Acquired With Solid State Electrodes.\u003c\/p\u003e\u003cp\u003e.- Federated Learning for Secure and Privacy-Preserving Facial Recognition: Advances, Challenges, and Research Directions.\u003c\/p\u003e\u003cp\u003e.- Multi scale Temporal Pose analysis for Gait Recognition.\u003c\/p\u003e\u003cp\u003e.- On the Use of Implicit Representations for Deepfake Detection.\u003c\/p\u003e\u003cp\u003e.- Pseudo MOS Learning: A Hybrid Full to No Reference FIQA Framework.\u003c\/p\u003e\u003cp\u003e.-Writer Identification using Simplified Handwritten Text Recognition Models.\u003c\/p\u003e\u003cp\u003e.- \u003cstrong\u003eMachine and Deep Learning\u003c\/strong\u003e.\u003c\/p\u003e\u003cp\u003e.- A New Subgraph Extraction Algorithm through a Kinship Approach for Link Prediction in Knowledge Graphs.\u003c\/p\u003e\u003cp\u003e.- A Semi-automatic Annotation Framework for Neutrophil Ultrastructure from TEM images.\u003c\/p\u003e\u003cp\u003e.-Assessing Cross Device Generalization in Remote Sensing Image Super Resolution.\u003c\/p\u003e\u003cp\u003e.- Assessing Dimensionality Reduction on Driving Range Estimation.\u003c\/p\u003e\u003cp\u003e.- Fine-Grained Visual Classification of Antelope Species.\u003c\/p\u003e\u003cp\u003e.- Image Transformation Sequence Retrieval with General Reinforcement Learning.\u003c\/p\u003e\u003cp\u003e.- Impact of label level noise on multi label learning: a case study on the k Nearest Neighbor classifier.\u003c\/p\u003e\u003cp\u003e.- Learning to Detect and Describe a Wireframe.\u003c\/p\u003e\u003cp\u003e.- Mitigating Overfitting in Fully Transformer Architectures for Handwritten Text Recognition.\u003c\/p\u003e\u003cp\u003e.- Multi-Hop Pooling: Leveraging Transition Matrices for Hierarchical Graph Representation Learning.\u003c\/p\u003e\u003cp\u003e.- Spiking Alternatives for the Leaky Integrate and Fire Neuron: Applications in Cybersecurity and Financial Threats.\u003c\/p\u003e\u003cp\u003e.- Using LoRA and Reinforcement Learning In Interactive Machine Translation.\u003c\/p\u003e\u003cp\u003e.- \u003cstrong\u003eExplainability, Bias and Fairness in DL\u003c\/strong\u003e.\u003c\/p\u003e\u003cp\u003e.- Causal SHAP: Feature Selection with Explainability and Causal Analysis.\u003c\/p\u003e\u003cp\u003e.- Gender Classification in Play Works Using BERT based Models.\u003c\/p\u003e\u003cp\u003e.- Mitigating Distribution Bias in Multimodal Datasets via Clustering Based Curation.\u003c\/p\u003e\u003cp\u003e.- Node Representation Diversity via Entropy Maximization in Graph Neural Networks.\u003c\/p\u003e","brand":"SPRINGER, BERLIN; SPRINGER NATURE SWITZERLAND; SPRING","offers":[{"title":"Default Title","offer_id":48869077090539,"sku":"00000_00000_00000_00000","price":292.97,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0758\/4484\/5803\/files\/9783031995644-1.jpg?v=1781717992","url":"https:\/\/kinokuniya.com.sg\/products\/9783031995644","provider":"Books Kinokuniya Singapore","version":"1.0","type":"link"}