14 search results - page 2 / 3 » Clustering Billions of Images with Large Scale Nearest Neigh... |
IJCV
2010
13 years 3 months ago
2010
This article improves recent methods for large scale image search. We first analyze the bag-of-features approach in the framework of approximate nearest neighbor search. This lea...
ECCV
2010
Springer
13 years 10 months ago
2010
Springer
Approximate Nearest Neighbor (ANN) methods such as Locality Sensitive Hashing, Semantic Hashing, and Spectral Hashing, provide computationally ecient procedures for nding objects...
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
Searching approximate nearest neighbors in large scale high dimensional data set has been a challenging problem. This paper presents a novel and fast algorithm for learning binary...
CVDB
2005
ACM
13 years 7 months ago
2005
ACM
The typical mode for querying in an image content-based information system is query-by-example, which allows the user to provide an image as a query and to search for similar imag...
CVPR
2004
IEEE
14 years 7 months ago
2004
IEEE
Weighted graph matching is a good way to align a pair of shapes represented by a set of descriptive local features; the set of correspondences produced by the minimum cost matchin...