106 resultados para WAVELET TRANSFORM
Filtro por publicador
- ABACUS. Repositorio de Producción Científica - Universidad Europea (1)
- Aberdeen University (1)
- Aberystwyth University Repository - Reino Unido (2)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (3)
- Adam Mickiewicz University Repository (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (9)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (6)
- Aquatic Commons (1)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (5)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (4)
- Aston University Research Archive (9)
- Biblioteca de Teses e Dissertações da USP (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (7)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (10)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (10)
- Boston University Digital Common (1)
- Bucknell University Digital Commons - Pensilvania - USA (13)
- Bulgarian Digital Mathematics Library at IMI-BAS (2)
- Cambridge University Engineering Department Publications Database (106)
- CentAUR: Central Archive University of Reading - UK (61)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (80)
- Cochin University of Science & Technology (CUSAT), India (23)
- CORA - Cork Open Research Archive - University College Cork - Ireland (1)
- Dalarna University College Electronic Archive (4)
- Deakin Research Online - Australia (74)
- DI-fusion - The institutional repository of Université Libre de Bruxelles (3)
- Digital Commons - Michigan Tech (2)
- Digital Commons @ Winthrop University (1)
- Digital Commons at Florida International University (4)
- DigitalCommons - The University of Maine Research (1)
- DigitalCommons@The Texas Medical Center (1)
- Duke University (2)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (2)
- Greenwich Academic Literature Archive - UK (3)
- Helda - Digital Repository of University of Helsinki (1)
- Indian Institute of Science - Bangalore - Índia (95)
- Instituto Politécnico de Bragança (1)
- Instituto Politécnico do Porto, Portugal (7)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (5)
- Massachusetts Institute of Technology (1)
- National Center for Biotechnology Information - NCBI (6)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (2)
- Publishing Network for Geoscientific & Environmental Data (11)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (105)
- Queensland University of Technology - ePrints Archive (82)
- RDBU - Repositório Digital da Biblioteca da Unisinos (1)
- ReCiL - Repositório Científico Lusófona - Grupo Lusófona, Portugal (1)
- Repositorio de la Universidad de Cuenca (1)
- Repositório Institucional da Universidade de Brasília (1)
- Repositório Institucional da Universidade Estadual de São Paulo - UNESP (1)
- Repositório Institucional da Universidade Tecnológica Federal do Paraná (RIUT) (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (88)
- Repositorio Institucional Universidad EAFIT - Medelin - Colombia (1)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- Universidad Autónoma de Nuevo León, Mexico (1)
- Universidad de Alicante (3)
- Universidad Politécnica de Madrid (24)
- Universidade Complutense de Madrid (1)
- Universidade Federal de Uberlândia (1)
- Universidade Federal do Pará (9)
- Universidade Federal do Rio Grande do Norte (UFRN) (36)
- Université de Montréal, Canada (2)
- Université Laval Mémoires et thèses électroniques (1)
- University of Queensland eSpace - Australia (1)
- WestminsterResearch - UK (5)
Resumo:
Relative (comparative) attributes are promising for thematic ranking of visual entities, which also aids in recognition tasks. However, attribute rank learning often requires a substantial amount of relational supervision, which is highly tedious, and apparently impractical for real-world applications. In this paper, we introduce the Semantic Transform, which under minimal supervision, adaptively finds a semantic feature space along with a class ordering that is related in the best possible way. Such a semantic space is found for every attribute category. To relate the classes under weak supervision, the class ordering needs to be refined according to a cost function in an iterative procedure. This problem is ideally NP-hard, and we thus propose a constrained search tree formulation for the same. Driven by the adaptive semantic feature space representation, our model achieves the best results to date for all of the tasks of relative, absolute and zero-shot classification on two popular datasets. © 2013 IEEE.