A Higher-level Visual Representation for Semantic Learning in Image Databases. (Une représentation visuelle avancée pour l'apprentissage sémantique dans les bases d'images)
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Summary
The large-scale extensive experimental results show that the proposed higher-level visual representation outperforms the traditional part-based image representations in retrieval, classification and object recognition.
- Type
- preprint
- Published
- 2011-06-28
- Cited by
- 0
- References
- 170
- OpenAlex
- https://openalex.org/W581514829
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:9615188
Keywords
Computer science, Information retrieval, Representation (politics), Artificial intelligence, Natural language processing
References
- APPLICATION OF NON-NEGATIVE MATRIX FACTORIZATION TO DYNAMIC POSITRON EMISSION TOMOGRAPHY
- MULTIPLE NONNEGATIVE-MATRIX FACTORIZATION OF DYNAMIC PET IMAGES
- Final Report: Weighted Neighbor Data Mining
- Using Association Rules and Spatial Weighting for an Effective Content Based-image Retrieval
- Stochastic Complexity in Statistical Inquiry Theory
- Proposal for a Standard Default Color Space for the Internet - sRGB
- Information Theory: 1948-1998 - Guest Editorial
- Data Mining - Concepts and Techniques
- Introduction to MPEG-7: Multimedia Content Description Interface
- Managing Gigabytes—Compressing and Indexing Documents and Images (Second Edition)
- Visual sentence-phrase-based document representation for effective and efficient content-based image retrieval
- Classification et sélection de caractéristique basées sur les concepts sémantiques pour la recherche d'information multimédia
- Color Image Segmentation for Multimedia Applications
- The SMART Retrieval System—Experiments in Automatic Document Processing
- Spatial Color Indexing and Applications
- Book Reviews: Foundations of Statistical Natural Language Processing
- The Power of Word Clusters for Text Classification
- Operations for Learning with Graphical Models
- Learning the parts of objects by non-negative matrix factorization
- NeTra: A toolbox for navigating large image databases
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