39 search results - page 6 / 8 » Web-scale k-means clustering |
ICCV
2011
IEEE
12 years 7 months ago
2011
IEEE
We consider the problem of quantizing data generated from disparate sources, e.g. subjects performing actions with different styles, movies with particular genre bias, various con...
IASSE
2004
13 years 8 months ago
2004
Accurate demand forecasting remains difficult and challenging in today's competitive and dynamic business environment, but even a little improvement in demand prediction may ...
EDBT
2004
ACM
14 years 7 months ago
2004
ACM
We present a novel anytime version of partitional clustering algorithm, such as k-Means and EM, for time series. The algorithm works by leveraging off the multi-resolution property...
DMIN
2006
13 years 8 months ago
2006
We present an application of bi-dimensional and heterogeneous time series clustering in order to resolve a Social Sciences issue. The dataset is the result of a survey involving mo...
ERCIMDL
2000
Springer
13 years 10 months ago
2000
Springer
Segmentation of a colour image composed of different kinds of texture regions can be a hard problem, namely to compute for an exact texture fields and a decision of the optimum num...