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» A New Indexing Method for High Dimensional Dataset
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115
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ALT
2004
Springer
15 years 9 months ago
On Kernels, Margins, and Low-Dimensional Mappings
Kernel functions are typically viewed as providing an implicit mapping of points into a high-dimensional space, with the ability to gain much of the power of that space without inc...
Maria-Florina Balcan, Avrim Blum, Santosh Vempala
99
Voted
NC
1998
102views Neural Networks» more  NC 1998»
15 years 2 months ago
Outliers and Bayesian Inference
In this paper we report about an investigation in which we studied the properties of Bayes' inferred neural network classifiers in the context of outlier detection. The proble...
Peter Sykacek
ESA
2003
Springer
111views Algorithms» more  ESA 2003»
15 years 6 months ago
Fast Smallest-Enclosing-Ball Computation in High Dimensions
Abstract. We develop a simple combinatorial algorithm for computing the smallest enclosing ball of a set of points in high dimensional Euclidean space. The resulting code is in mos...
Kaspar Fischer, Bernd Gärtner, Martin Kutz
111
Voted
CVPR
2010
IEEE
14 years 11 months ago
Transform Coding for Fast Approximate Nearest Neighbor Search in High Dimensions
We examine the problem of large scale nearest neighbor search in high dimensional spaces and propose a new approach based on the close relationship between nearest neighbor search...
Jonathan Brandt
CHI
2005
ACM
16 years 1 months ago
Tool for accurately predicting website navigation problems, non-problems, problem severity, and effectiveness of repairs
The Cognitive Walkthrough for the Web (CWW) is a partially automated usability evaluation method for identifying and repairing website navigation problems. Building on five earlie...
Marilyn Hughes Blackmon, Muneo Kitajima, Peter G. ...