Deep Representations and Codes for Image Auto-Annotation : Appendix Csaba Szepesv´ari Department of Computing Science University of Alberta

Source URL: www.cs.toronto.edu

A FLEXIBLE FRAMEWORK FOR WEB INTERFACES TO IMAGE DATABASES: SUPPORTING USER-DEFINED ONTOLOGIES AND LINKS TO EXTERNAL DATABASES Josiah Johnston, Arpun Nagaraja, Harry Hochheiser, Ilya Goldberg Image Informatics and Comput

Source URL: www.openmicroscopy.org

• Knowledge
• Ontology
• Semantic Web
• Knowledge representation
• Technical communication
• Annotation
• Gene Ontology
• Open Biomedical Ontologies
• Science
• Information
• Bioinformatics

Deep Representations and Codes for Image Auto-Annotation Csaba Szepesv´ari Department of Computing Science University of Alberta Edmonton, AB, Canada

Source URL: www.cs.toronto.edu

• Automatic image annotation
• Dimension reduction
• Content-based image retrieval
• Feature selection
• Caltech 101
• Computer vision
• Artificial intelligence
• Artificial intelligence applications

Package ‘CAMERA’ July 17, 2015 VersionDateTitle Collection of annotation related methods for mass spectrometry data

Source URL: www.bioconductor.org

• Statistical dependence
• Cluster analysis
• Data mining
• Geostatistics
• Correlation and dependence
• Matrix
• Statistics
• Covariance and correlation
• Multivariate statistics

Using the Micropublications ontology and the Open Annotation Data Model to represent evidence within a drug-drug interaction knowledge base Jodi Schneider1 , Paolo Ciccarese2 , Tim Clark2 , and Richard D. Boyce3 1

Source URL: jodischneider.com

• Knowledge
• Bioinformatics
• Knowledge representation
• Information science
• Technical communication
• Gene Ontology
• Cyc
• Escitalopram
• Annotation
• Science
• Ontology
• Information

Classification of Annotation Semirings over Query Containment Егор В. Костылев Juan L. Reutter LFCS, University of Edinburgh

Source URL: web.ing.puc.cl

A Comparison of Inter-Transcriber Reliability for Two Systems of Prosodic Annotation: RaP (Rhythm and Pitch) and ToBI (Tones and Break Indices) Laura Dilley1, Mara Breen2, Edward Gibson2, Marti Bolivar2, John Kraemer2 1

Source URL: personal.bgsu.edu

Proceedings of the Second Workshop on Annotation of Corpora for Research in the Humanities (ACRHNovember 2012 Lisbon, Portugal

Source URL: alfclul.clul.ul.pt

Minimal Narrative Annotation Schemes and Their Applications Elahe Rahimtoroghi, Thomas Corcoran, Reid Swanson, and Marilyn A. Walker Natural Language and Dialogue Systems Lab University of California Santa Cruz Santa Cru

Source URL: people.ict.usc.edu

Trusting the Count Annotation​ Andrew solves the​ problem by counting on. It is evident that he has learned to trust​ the count (cardinality) as he recognises that he does not have to​ count from 1. ​ Probl

Source URL: cpl.org.nz