87 search results - page 1 / 18 » Clustering Large Dynamic Datasets Using Exemplar Points |
MLDM
2005
Springer
13 years 9 months ago
2005
Springer
In this paper we present a method to cluster large datasets that change over time using incremental learning techniques. The approach is based on the dynamic representation of clus...
ICCV
2011
IEEE
12 years 4 months ago
2011
IEEE
Many recent works have attempted to improve object recognition by exploiting temporal dynamics, an intrinsic property of video sequences. In this paper, a new spatiotemporal hiera...
NIPS
2007
13 years 5 months ago
2007
Clustering is often formulated as the maximum likelihood estimation of a mixture model that explains the data. The EM algorithm widely used to solve the resulting optimization pro...
KDD
2000
ACM
13 years 8 months ago
2000
ACM
The grand tour, one of the most popular methods for multidimensional data exploration, is based on orthogonally projecting multidimensional data to a sequence of lower dimensional...
CVPR
2006
IEEE
14 years 6 months ago
2006
IEEE
We demonstrate a method for identifying images containing categories of animals. The images we classify depict animals in a wide range of aspects, configurations and appearances. ...