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» The Stardinates - Visualizing Highly Structured Data
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246
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SADM
2010
196views more  SADM 2010»
14 years 10 months ago
Bayesian adaptive nearest neighbor
: The k nearest neighbor classification (k-NN) is a very simple and popular method for classification. However, it suffers from a major drawback, it assumes constant local class po...
Ruixin Guo, Sounak Chakraborty
137
Voted
NIPS
2003
15 years 4 months ago
Locality Preserving Projections
Many problems in information processing involve some form of dimensionality reduction. In this paper, we introduce Locality Preserving Projections (LPP). These are linear projecti...
Xiaofei He, Partha Niyogi
129
Voted
DEXAW
2010
IEEE
181views Database» more  DEXAW 2010»
15 years 4 months ago
Bridging the Gap between Heterogeneous and Semantically Diverse Content of Different Disciplines
The Web has been flooded with highly heterogeneous data sources that freely offer their data to the public. Careful design and compliance to standards is a way to cope with the he...
Siarhei Bykau, Nadzeya Kiyavitskaya, Chrisa Tsinar...
133
Voted
RIAO
2000
15 years 4 months ago
An Intelligent Text Extraction and Navigation System
We present sppc, a high-performance system for intelligent text extraction and navigation from German free text documents. sppc consists of a set of domainindependent shallow core...
Jakub Piskorski, Günter Neumann
113
Voted
GFKL
2005
Springer
82views Data Mining» more  GFKL 2005»
15 years 9 months ago
Robust Multivariate Methods: The Projection Pursuit Approach
Projection pursuit was originally introduced to identify structures in multivariate data clouds (Huber, 1985). The idea of projecting data to a lowdimensional subspace can also be ...
Peter Filzmoser, Sven Serneels, Christophe Croux, ...