60 search results - page 8 / 12 » Explicit Dimension Reduction and Its Applications |
ICDE
2012
IEEE
11 years 10 months ago
2012
IEEE
—Outlier mining is a major task in data analysis. Outliers are objects that highly deviate from regular objects in their local neighborhood. Density-based outlier ranking methods...
JMLR
2010
13 years 2 months ago
2010
The rapid advance of computer technologies in data processing, collection, and storage has provided unparalleled opportunities to expand capabilities in production, services, comm...
BMVC
2010
13 years 5 months ago
2010
Kernel methods yield state-of-the-art performance in certain applications such as image classification and object detection. However, large scale problems require machine learning...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Traditional binary hypothesis testing relies on the precise knowledge of the probability density of an observed random vector conditioned on each hypothesis. However, for many app...
SIAMMAX
2010
13 years 2 months ago
2010
Linear Discriminant Analysis (LDA) is one of the most popular approaches for feature extraction and dimension reduction to overcome the curse of the dimensionality of the high-dime...