371 search results - page 27 / 75 » Learning to match and cluster large high-dimensional data se... |
DEXA
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. Semantic matching of schemas in heterogeneous data sharing systems is time consuming and error prone. Existing mapping tools employ semi-automatic techniques for mapping ...
CVPR
2010
IEEE
13 years 6 months ago
2010
IEEE
We examine the problem of large scale nearest neighbor search in high dimensional spaces and propose a new approach based on the close relationship between nearest neighbor search...
CVPR
2010
IEEE
14 years 3 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...
ICAI
2004
13 years 9 months ago
2004
-- Combination of multiple clusterings is an important task in the area of unsupervised learning. Inspired by the success of supervised bagging algorithms, we propose a resampling ...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Clustering is a fundamental task in many vision applications. To date, most clustering algorithms work in a batch setting and training examples must be gathered in a large group b...