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CIT
2005
Springer
14 years 11 months ago
Simple Classification into Large Topic Ontology of Web Documents
The paper presents an approach to classifying Web documents into large topic ontology. The main emphasis is on having a simple approach appropriate for handling a large ontology an...
Marko Grobelnik, Dunja Mladenic
CVPR
2008
IEEE
16 years 1 months ago
Large margin pursuit for a Conic Section classifier
Learning a discriminant becomes substantially more difficult when the datasets are high-dimensional and the available samples are few. This is often the case in computer vision an...
Santhosh Kodipaka, Arunava Banerjee, Baba C. Vemur...
NIPS
2007
15 years 1 months ago
A Randomized Algorithm for Large Scale Support Vector Learning
This paper investigates the application of randomized algorithms for large scale SVM learning. The key contribution of the paper is to show that, by using ideas random projections...
Krishnan Kumar, Chiru Bhattacharyya, Ramesh Hariha...
CCGRID
2010
IEEE
15 years 29 days ago
High Performance Dimension Reduction and Visualization for Large High-Dimensional Data Analysis
Abstract--Large high dimension datasets are of growing importance in many fields and it is important to be able to visualize them for understanding the results of data mining appro...
Jong Youl Choi, Seung-Hee Bae, Xiaohong Qiu, Geoff...
SIAMAM
2000
95views more  SIAMAM 2000»
14 years 11 months ago
Hopf Bifurcation Subject to a Large Delay in a Laser System
Hopf bifurcation theory for an oscillator subject to a weak feedback but a large delay is investigated for a specific laser system. The problem is motivated by semiconductor laser ...
Athanasios Gavrielides, Didier Pieroux, Thomas Ern...