334 search results - page 22 / 67 » Local Dimensionality Reduction: A New Approach to Indexing H... |
ADC
2003
Springer
14 years 22 days ago
2003
Springer
Minkowski-sum cost model indicates that balanced data partitioning is not beneficial for high dimensional data. Thus we study several unbalanced partitioning methods and propose ...
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...
CAIP
1999
Springer
1999
Springer
EigenHistograms: Using Low Dimensional Models of Color Distribution for Real Time Object Recognition
13 years 11 months ago
Abstract. Distribution of object colors has been used in computer vision for recognition and indexing. Most of the recent approaches to this problem have been focused on de ning op...
PAKDD
2005
ACM
14 years 1 months ago
2005
ACM
In many modern application ranges high-dimensional feature vectors are used to model complex real-world objects. Often these objects reside on different local sites. In this paper,...
NIPS
2003
13 years 8 months ago
2003
In this paper we introduce a new underlying probabilistic model for principal component analysis (PCA). Our formulation interprets PCA as a particular Gaussian process prior on a ...