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» Local Dimensionality Reduction
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ANTS
2008
Springer
106views Algorithms» more  ANTS 2008»
14 years 12 months ago
Computing in Component Groups of Elliptic Curves
Let K be a p-adic local field and E an elliptic curve defined over K. The component group of E is the group E(K)/E0(K), where E0(K) denotes the subgroup of points of good reduction...
J. E. Cremona
JMLR
2010
119views more  JMLR 2010»
14 years 4 months ago
Hubs in Space: Popular Nearest Neighbors in High-Dimensional Data
Different aspects of the curse of dimensionality are known to present serious challenges to various machine-learning methods and tasks. This paper explores a new aspect of the dim...
Milos Radovanovic, Alexandros Nanopoulos, Mirjana ...
CONCUR
1999
Springer
15 years 2 months ago
Partial Order Reduction for Model Checking of Timed Automata
Abstract. The paper presents a partial order reduction method applicable to networks of timed automata. The advantage of the method is that it reduces both the number of explored c...
Marius Minea
ICDM
2003
IEEE
115views Data Mining» more  ICDM 2003»
15 years 3 months ago
Icon-based Visualization of Large High-Dimensional Datasets
High dimensional data visualization is critical to data analysts since it gives a direct view of original data. We present a method to visualize large amount of high dimensional d...
Ping Chen, Chenyi Hu, Wei Ding 0003, Heloise Lynn,...
IV
2007
IEEE
160views Visualization» more  IV 2007»
15 years 4 months ago
Targeted Projection Pursuit for Interactive Exploration of High- Dimensional Data Sets
High-dimensional data is, by its nature, difficult to visualise. Many current techniques involve reducing the dimensionality of the data, which results in a loss of information. ...
Joe Faith