25 search results - page 1 / 5 » Dimensionality reduction for density ratio estimation in hig... |
NN
2010
Springer
13 years 3 months ago
2010
Springer
The ratio of two probability density functions is becoming a quantity of interest these days in the machine learning and data mining communities since it can be used for various d...
SDM
2009
SIAM
14 years 1 months ago
2009
SIAM
Subspace clustering and frequent itemset mining via “stepby-step” algorithms that search the subspace/pattern lattice in a top-down or bottom-up fashion do not scale to large ...
CIDM
2007
IEEE
13 years 11 months ago
2007
IEEE
Clustering large data sets with high dimensionality is a challenging data-mining task. This paper presents a framework to perform such a task efficiently. It is based on the notio...
SDM
2010
SIAM
13 years 6 months ago
2010
SIAM
Methods for directly estimating the ratio of two probability density functions without going through density estimation have been actively explored recently since they can be used...
ICMCS
2007
IEEE
13 years 11 months ago
2007
IEEE
Most methods for multiple object tracking in video represent the state of multi-objects in a high dimensional joint state space. This leads to high computational complexity. This ...