Sciweavers

734 search results - page 23 / 147
» A New Indexing Method for High Dimensional Dataset
Sort
View
ICASSP
2009
IEEE
14 years 3 months ago
Shrinkage estimation of high dimensional covariance matrices
We address covariance estimation under mean-squared loss in the Gaussian setting. Specifically, we consider shrinkage methods which are suitable for high dimensional problems wit...
Yilun Chen, Ami Wiesel, Alfred O. Hero
BMCBI
2010
224views more  BMCBI 2010»
13 years 8 months ago
An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data
Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
Susmita Datta, Vasyl Pihur, Somnath Datta
ICIP
2006
IEEE
14 years 10 months ago
Two-Stage Optimal Component Analysis
Linear techniques are widely used to reduce the dimension of image representation spaces in applications such as image indexing and object recognition. Optimal Component Analysis ...
Yiming Wu, Xiuwen Liu, Washington Mio, Kyle A. Gal...
ICDE
1996
IEEE
228views Database» more  ICDE 1996»
14 years 9 months ago
Similarity Indexing with the SS-tree
Eficient indezing of high dimensional feature vectors is important to allow visual information systems and a number other applications to scale up to large databases. In this pape...
David A. White, Ramesh Jain
ICDT
2005
ACM
88views Database» more  ICDT 2005»
14 years 2 months ago
When Is Nearest Neighbors Indexable?
Abstract. In this paper, we consider whether traditional index structures are effective in processing unstable nearest neighbors workloads. It is known that under broad conditions...
Uri Shaft, Raghu Ramakrishnan