119 search results - page 4 / 24 » Constrained Projection Approximation Algorithms for Principa... |
IDEAL
2003
Springer
14 years 8 days ago
2003
Springer
Abstract. Multidimensional data projection and visualisation are becoming increasingly important and have found wide applications in many fields such as decision support, bioinform...
ORL
2011
13 years 1 months ago
2011
We derive a convex relaxation for cardinality constrained Principal Component Analysis (PCA) by using a simple representation of the L1 unit ball and standard Lagrangian duality. ...
KDD
2006
ACM
14 years 7 months ago
2006
ACM
Principal component analysis (PCA) has been extensively applied in data mining, pattern recognition and information retrieval for unsupervised dimensionality reduction. When label...
CNSR
2011
IEEE
12 years 10 months ago
2011
IEEE
—Principal component based anomaly detection has emerged as an important statistical tool for network anomaly detection. It works by projecting summary network information onto a...
ICDM
2006
IEEE
14 years 1 months ago
2006
IEEE
Choosing an appropriate kernel is one of the key problems in kernel-based methods. Most existing kernel selection methods require that the class labels of the training examples ar...