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» Retrieving lightly annotated images using image similarities
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SMI
2008
IEEE
126views Image Analysis» more  SMI 2008»
14 years 2 months ago
SHREC'08 entry: Semi-supervised learning for semantic 3D model retrieval
A shape feature by itself is not sufficient for effective 3D model retrieval. Long-lasting semantics shared by a community as well as a short-lived intention of a user determines ...
Akihiro Yamamoto, Masaki Tezuka, Toshiya Shimizu, ...
MIR
2006
ACM
132views Multimedia» more  MIR 2006»
14 years 2 months ago
Retrieval of Ottoman documents
There is a growing need to access historical Ottoman documents stored in large archives and therefore managing tools for automatic searching, indexing and transcription of these d...
Esra Ataer, Pinar Duygulu
MICAI
2010
Springer
13 years 6 months ago
Information Retrieval with a Simplified Conceptual Graph-Like Representation
We argue for that taking into account semantic relations between words in the text can improve information retrieval performance. We implemented the process of information retrieva...
Sonia Ordoñez-Salinas, Alexander F. Gelbukh
BILDMED
2007
141views Algorithms» more  BILDMED 2007»
13 years 9 months ago
Angiographic Assessment of Myocardial Perfusion Using Correlation Analysis
Abstract. Although angiography was originally designed as a morphological imaging modality, it is increasingly demanded to retrieve functional information from conventional angiogr...
Yu Deuerling-Zheng, Jan Boese, Stephan Achenbach, ...
CVPR
2012
IEEE
11 years 10 months ago
A codebook-free and annotation-free approach for fine-grained image categorization
Fine-grained categorization refers to the task of classifying objects that belong to the same basic-level class (e.g. different bird species) and share similar shape or visual app...
Bangpeng Yao, Gary R. Bradski, Fei-Fei Li