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» Learning an image manifold for retrieval
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NIPS
2003
13 years 10 months ago
A Model for Learning the Semantics of Pictures
We propose an approach to learning the semantics of images which allows us to automatically annotate an image with keywords and to retrieve images based on text queries. We do thi...
Victor Lavrenko, R. Manmatha, Jiwoon Jeon
ICIP
2007
IEEE
14 years 10 months ago
Large Scale Learning of Active Shape Models
We propose a framework to learn statistical shape models for faces as piecewise linear models. Specifically, our methodology builds upon primitive active shape models(ASM) to hand...
Atul Kanaujia, Dimitris N. Metaxas
ECML
2004
Springer
14 years 2 months ago
Exploiting Unlabeled Data in Content-Based Image Retrieval
Abstract. In this paper, the Ssair (Semi-Supervised Active Image Retrieval) approach, which attempts to exploit unlabeled data to improve the performance of content-based image ret...
Zhi-Hua Zhou, Ke-Jia Chen, Yuan Jiang
ADC
2008
Springer
94views Database» more  ADC 2008»
13 years 10 months ago
Content-based Image Retrieval Using Image Regions as Query Examples
A common approach to content-based image retrieval is to use example images as queries; images in the collection that have low-level features similar to the query examples are ret...
D. N. F. Awang Iskandar, James A. Thom, Seyed M. M...
CIVR
2005
Springer
123views Image Analysis» more  CIVR 2005»
14 years 2 months ago
Region-Based Image Clustering and Retrieval Using Multiple Instance Learning
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. We propose an approach based on One-Class Support ...
Chengcui Zhang, Xin Chen