This paper will present the techniques used in the production of a 3D narrated tour of the ancient precinct of Olympia set in 200 BC; and detail the approaches undertaken to digit...
—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...
Efficiently processing continuous k-nearest neighbor queries on data streams is important in many application domains, e. g. for network intrusion detection or in querysubscriber ...
Parameterized queries are commonly used in database applications. In a parameterized query, the same SQL statement is potentially executed multiple times with different parameter ...
Surajit Chaudhuri, Hongrae Lee, Vivek R. Narasayya
We present a manifold learning approach to dimensionality
reduction that explicitly models the manifold as a mapping
from low to high dimensional space. The manifold is
represen...