275 search results - page 43 / 55 » On local intrinsic dimension estimation 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...
DMIN
2006
13 years 9 months ago
2006
The stochastic discrimination (SD) theory considers learning as building models of uniform coverage over data distributions. Despite successful trials of the derived SD method in s...
CLEIEJ
2002
13 years 7 months ago
2002
Function Point Analysis (FPA) is among the most commonly used techniques to estimate the size of software system projects or software systems. During the point counting process th...
TROB
2002
13 years 7 months ago
2002
Abstract-- Vision feedback control loop techniques are efficient for a large class of applications but they come up against difficulties when the initial and desired robot position...
ACL
2009
13 years 5 months ago
2009
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...