Advances in computer vision and pattern recognition
Resource Information
The series Advances in computer vision and pattern recognition represents a set of related resources, especially of a specified kind, found in University of Liverpool.
The Resource
Advances in computer vision and pattern recognition
Resource Information
The series Advances in computer vision and pattern recognition represents a set of related resources, especially of a specified kind, found in University of Liverpool.
- Label
- Advances in computer vision and pattern recognition
31 Items in the Series Advances in computer vision and pattern recognition
Context
Context of Advances in computer vision and pattern recognitionMembers
No resources found
No enriched resources found
- Active lighting and its application for computer vision : 40 years of history of active lighting techniques
- Adaptive biometric systems : recent advances and challenges
- Algorithmic advances in Riemannian geometry and applications : for machine learning, computer vision, statistics, and optimization
- Autonomous intelligent vehicles : theory, algorithms, and implementation
- Computer vision-guided virtual craniofacial surgery : a graph-theoretic and statistical perspective
- Consumer depth cameras for computer vision : research topics and applications
- Decision forests for computer vision and medical image analysis
- Deep learning and convolutional neural networks for medical image computing : precision medicine, high performance and large-scale datasets
- Deep learning for biometrics
- Denoising of photographic images and video : fundamentals, open challenges and new trends
- Domain adaptation in computer vision applications
- Fusion in computer vision : understanding complex visual content
- Guide to medical image analysis : methods and algorithms
- Handbook of biometric anti-spoofing : presentation attack detection
- Handbook of biometrics for forensic science
- Handbook of iris recognition
- Hyperspectral image analysis : advances in machine learning and signal processing
- Imaging spectroscopy for scene analysis
- Integrated imaging and vision techniques for industrial inspection : advances and applications
- Large-scale visual geo-localization
- Markov models for pattern recognition : from theory to applications
- Multi-band polarization imaging and applications
- Multispectral satellite image understanding : from land classification to building and road detection
- Natural User Interfaces in Medical Image Analysis : Cognitive Analysis of Brain and Carotid Artery Images
- Optimization for computer vision : an introduction to core concepts and methods
- Optimization techniques in computer vision : ill-posed problems and regularization
- Shape perception in human and computer vision : an interdisciplinary perspective
- Smart information systems : computational intelligence for real-life applications
- Unsupervised learning in space and time : a modern approach for computer vision using graph-based techniques and deep neural networks
- Visual attributes
- Visual texture : accurate material appearance measurement, representation and modeling
Embed
Settings
Select options that apply then copy and paste the RDF/HTML data fragment to include in your application
Embed this data in a secure (HTTPS) page:
Layout options:
Include data citation:
<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.liverpool.ac.uk/resource/Iif_TJx7PK0/" typeof="Series http://bibfra.me/vocab/lite/Series"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.liverpool.ac.uk/resource/Iif_TJx7PK0/">Advances in computer vision and pattern recognition</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.liverpool.ac.uk/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.liverpool.ac.uk/">University of Liverpool</a></span></span></span></span></div>
Note: Adjust the width and height settings defined in the RDF/HTML code fragment to best match your requirements
Preview
Cite Data - Experimental
Data Citation of the Series Advances in computer vision and pattern recognition
Copy and paste the following RDF/HTML data fragment to cite this resource
<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.liverpool.ac.uk/resource/Iif_TJx7PK0/" typeof="Series http://bibfra.me/vocab/lite/Series"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.liverpool.ac.uk/resource/Iif_TJx7PK0/">Advances in computer vision and pattern recognition</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.liverpool.ac.uk/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.liverpool.ac.uk/">University of Liverpool</a></span></span></span></span></div>
