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» A Support Vector Clustering Method
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KDD
2000
ACM
222views Data Mining» more  KDD 2000»
15 years 7 months ago
Interactive exploration of very large relational datasets through 3D dynamic projections
The grand tour, one of the most popular methods for multidimensional data exploration, is based on orthogonally projecting multidimensional data to a sequence of lower dimensional...
Li Yang
159
Voted
EUROCRYPT
2012
Springer
13 years 6 months ago
Property Preserving Symmetric Encryption
Abstract. Processing on encrypted data is a subject of rich investigation. Several new and exotic encryption schemes, supporting a diverse set of features, have been developed for ...
Omkant Pandey, Yannis Rouselakis
130
Voted
ICML
2007
IEEE
16 years 4 months ago
Minimum reference set based feature selection for small sample classifications
We address feature selection problems for classification of small samples and high dimensionality. A practical example is microarray-based cancer classification problems, where sa...
Xue-wen Chen, Jong Cheol Jeong
131
Voted
IUI
2009
ACM
16 years 25 days ago
Data-driven exploration of musical chord sequences
We present data-driven methods for supporting musical creativity by capturing the statistics of a musical database. Specifically, we introduce a system that supports users in expl...
Eric Nichols, Dan Morris, Sumit Basu
130
Voted
WSOM
2009
Springer
15 years 10 months ago
Analytic Comparison of Self-Organising Maps
Abstract. SOMs have proven to be a very powerful tool for data analysis. However, comparing multiple SOMs trained on the same data set using different parameters or initialisation...
Rudolf Mayer, Robert Neumayer, Doris Baum, Andreas...