Pattern Recognition
Language: English
Published by Springer, Springer Mär 2021, 2021
- Softcover
- New
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This item is printed on demand - Print on Demand Titel. Neuware -Normalizing Flow, Semantics, Physics, Camera Calibration.- Characterizing The Role of A Single Coupling Layer in Affine Normalizing Flows.- Semantic Bottlenecks: Quantifying & Improving Inspectability of Deep Representations.- Bias Detection and Prediction of Mapping Errors in Camera Calibration.- Learning to Identify Physical Parameters from Video Using Differentiable Physics.- Computer Vision, Pattern Recognition, Machine Learning.- Assignment Flow For Order-Constrained OCT Segmentation.- Boosting Generalization in Bio-Signal Classification by Learning the Phase-Amplitude Coupling.- Long-Tailed Recognition Using Class-Balanced Experts.- Analyzing the Dependency of ConvNets on Spatial Information.- Learning Monocular 3D Vehicle Detection without 3D Bounding Box Labels.- Observer Dependent Lossy Image Compression.- Adversarial Synthesis of Human Pose from Text.- Long-Term Anticipation of Activities with Cycle Consistency.- Multi-Stage Fusion for One-click Segmentation.- Neural Architecture Performance Prediction Using Graph Neural Networks.- Discovering Latent Classes for Semi-Supervised Semantic Segmentation.- Riemannian SOS-Polynomial Normalizing Flows.- Automated water segmentation and river level detection on camera images using transfer learning.- Does SGD Implicitly Optimize for Smoothness.- Looking outside the box: The role of context in Random Forest based semantic segmentation of PolSAR images.- Haar Wavelet based Block Autoregressive Flows for Trajectories.- Center3D: Center-based Monocular 3D Object Detection with Joint Depth Understanding.- Constellation Cod Elektronisches Buch for Reliable Vehicle Localization.- Towards Bounding-Box Free Panoptic Segmentation.- Proposal-Free Volumetric Instance Segmentation from Latent Single-Instance Masks.- Unsupervised Part Discovery by Unsupervised Disentanglement.- On the Lifted Multicut Polytope for Trees.- Conditional Invertible Neural Networks for Diverse Image-to-Image Translation.- Image Inpainting with Learnable Feature Imputation.- 4Seasons: A Cross-Season Dataset for Multi-Weather SLAM in Autonomous Driving.- Inline Double Layer Depth Estimation with Transparent Materials.- A Differentiable Convolutional Distance Transform Layer for Improved Image Segmentation.- PET-guided Attention Network for Segmentation of Lung Tumors from PET/CT images.- Self-supervised Disentanglement of Modality-specific and Shared Factors Improves Multimodal Generative Models.- Multimodal semantic forecasting based on conditional generation of future features.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 508 pp. Englisch.…
Seller Inventory # 9783030712778
- Title
- Pattern Recognition
- Author
- Zeynep Akata
- Publisher
- Springer, Springer Mär 2021
- Publication year
- 2021
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 303071277X
- ISBN 13
- 9783030712778
- Item weight
- 762 grams
- Dimensions
- 235x155x28 mm
- Series
- Book 297 of 300: Lecture Notes in Computer Science
The 34 papers presented in this volume were carefully reviewed and selected from a total of 89 submissions. They were organized in topical sections named: Normalizing Flow, Semantics, Physics, Camera Calibration and Computer Vision, Pattern Recognition, Machine Learning.
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buchversandmimpf2000
Emtmannsberg, BAYE, Germany
AbeBooks seller since January 23, 2017
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