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IJCAI
2003
13 years 11 months ago
Continuous nonlinear dimensionality reduction by kernel Eigenmaps
We equate nonlinear dimensionality reduction (NLDR) to graph embedding with side information about the vertices, and derive a solution to either problem in the form of a kernel-ba...
Matthew Brand
NIPS
2003
13 years 11 months ago
Extreme Components Analysis
Principal components analysis (PCA) is one of the most widely used techniques in machine learning and data mining. Minor components analysis (MCA) is less well known, but can also...
Max Welling, Felix V. Agakov, Christopher K. I. Wi...
AAAI
1998
13 years 11 months ago
Metacognition in Software Agents Using Classifier Systems
Software agents "living" and acting in a real world software environment, such as an operating system, a network, or a database system, can carry out many tasks for huma...
Zhaohua Zhang, Stan Franklin, Dipankar Dasgupta
CIDR
2009
157views Algorithms» more  CIDR 2009»
13 years 11 months ago
SCADS: Scale-Independent Storage for Social Computing Applications
Collaborative web applications such as Facebook, Flickr and Yelp present new challenges for storing and querying large amounts of data. As users and developers are focused more on...
Michael Armbrust, Armando Fox, David A. Patterson,...
TIP
2008
175views more  TIP 2008»
13 years 10 months ago
Customizing Kernel Functions for SVM-Based Hyperspectral Image Classification
Previous research applying kernel methods such as support vector machines (SVMs) to hyperspectral image classification has achieved performance competitive with the best available ...
Baofeng Guo, Steve R. Gunn, Robert I. Damper, Jame...