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» A learning framework for nearest neighbor search
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ICML
2010
IEEE
14 years 10 months ago
Sequential Projection Learning for Hashing with Compact Codes
Hashing based Approximate Nearest Neighbor (ANN) search has attracted much attention due to its fast query time and drastically reduced storage. However, most of the hashing metho...
Jun Wang, Sanjiv Kumar, Shih-Fu Chang
CVPR
2012
IEEE
12 years 12 months ago
Learning hierarchical similarity metrics
Categories in multi-class data are often part of an underlying semantic taxonomy. Recent work in object classification has found interesting ways to use this taxonomy structure t...
Nakul Verma, Dhruv Mahajan, Sundararajan Sellamani...
CVPR
2005
IEEE
15 years 11 months ago
Local Discriminant Embedding and Its Variants
We present a new approach, called local discriminant embedding (LDE), to manifold learning and pattern classification. In our framework, the neighbor and class relations of data a...
Hwann-Tzong Chen, Huang-Wei Chang, Tyng-Luh Liu
ICDE
2000
IEEE
121views Database» more  ICDE 2000»
15 years 10 months ago
Creating a Customized Access Method for Blobworld
We present the design and analysis of a customized access method for the content-based image retrieval system, Blobworld. Using the amdb access method analysis tool, we analyzed t...
Megan Thomas, Chad Carson, Joseph M. Hellerstein
ECCV
2008
Springer
15 years 11 months ago
Hamming Embedding and Weak Geometric Consistency for Large Scale Image Search
This paper improves recent methods for large scale image search. State-of-the-art methods build on the bag-of-features image representation. We, first, analyze bag-of-features in t...
Herve Jegou, Matthijs Douze, Cordelia Schmid