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ICML
2008
IEEE
14 years 9 months ago
An empirical evaluation of supervised learning in high dimensions
In this paper we perform an empirical evaluation of supervised learning on highdimensional data. We evaluate performance on three metrics: accuracy, AUC, and squared loss and stud...
Rich Caruana, Nikolaos Karampatziakis, Ainur Yesse...
APVIS
2010
13 years 3 months ago
Visual analysis of high dimensional point clouds using topological landscapes
In this paper, we present a novel three-stage process to visualize the structure of point clouds in arbitrary dimensions. To get insight into the structure and complexity of a dat...
Patrick Oesterling, Christian Heine, Heike Jä...
PCM
2007
Springer
132views Multimedia» more  PCM 2007»
14 years 2 months ago
FADA: An Efficient Dimension Reduction Scheme for Image Classification
This paper develops a novel and efficient dimension reduction scheme--Fast Adaptive Discriminant Analysis (FADA). FADA can find a good projection with adaptation to different sampl...
Yijuan Lu, Jingsheng Ma, Qi Tian
ICRA
2005
IEEE
103views Robotics» more  ICRA 2005»
14 years 2 months ago
Dimensioning a Constrained Parallel Robot to Reach a Set of Task Positions
— The paper considers the problem of setting the dimensions of a system of constrained parallel robots to ensure that together they can position an end-effector in a specified s...
Hai-Jun Su, J. Michael McCarthy
JSAC
2007
125views more  JSAC 2007»
13 years 8 months ago
Network Dimensioning under Scheduled and Random Lightpath Demands in All-Optical WDM Networks
— In WDM optical networks connection requests can be classified into three different types: Permanent Lightpath Demands (PLDs), Scheduled Lightpath Demands (SLDs), and Random Li...
Maurice Gagnaire, Mohamed Koubàa, Nicolas P...