1038 search results - page 117 / 208 » A Genetic Algorithm for Clustering on Very Large Data Sets |
DAGM
2010
Springer
13 years 8 months ago
2010
Springer
Abstract. For every segmentation task, prior knowledge about the object that shall be segmented has to be incorporated. This is typically performed either automatically by using la...
SDM
2011
SIAM
12 years 10 months ago
2011
SIAM
Sparse principal component analysis (PCA) imposes extra constraints or penalty terms to the standard PCA to achieve sparsity. In this paper, we first introduce an efficient algor...
VLDB
2001
ACM
14 years 8 months ago
2001
ACM
The problem of answering queries using views is to find efficient methods of answering a query using a set of previously materialized views over the database, rather than accessing...
JMLR
2010
13 years 2 months ago
2010
In recent years, a fundamental problem structure has emerged as very useful in a variety of machine learning applications: Submodularity is an intuitive diminishing returns proper...
ICIP
2009
IEEE
14 years 8 months ago
2009
IEEE
Color quantization is an important operation with many applications in graphics and image processing. Most quantization methods are essentially based on data clustering algorithms...