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ECML
2001
Springer
14 years 9 days ago
Learning of Variability for Invariant Statistical Pattern Recognition
In many applications, modelling techniques are necessary which take into account the inherent variability of given data. In this paper, we present an approach to model class speciï...
Daniel Keysers, Wolfgang Macherey, Jörg Dahme...
ICDM
2010
IEEE
228views Data Mining» more  ICDM 2010»
13 years 5 months ago
Multi-label Feature Selection for Graph Classification
Nowadays, the classification of graph data has become an important and active research topic in the last decade, which has a wide variety of real world applications, e.g. drug acti...
Xiangnan Kong, Philip S. Yu
SIGCOMM
2004
ACM
14 years 1 months ago
Locating internet routing instabilities
This paper presents a methodology for identifying the autonomous system (or systems) responsible when a routing change is observed and propagated by BGP. The origin of such a rout...
Anja Feldmann, Olaf Maennel, Zhuoqing Morley Mao, ...
EJASP
2010
166views more  EJASP 2010»
13 years 2 months ago
Decoding Schemes for FBMC with Single-Delay STTC
Orthogonally multiplexed Quadrature Amplitude Modulation (O-QAM) with Filter Banks based Multi Carrier modulation (FBMC) is a multi-carrier modulation scheme that can be considere...
Chrislin Lélé, Didier Le Ruyet
SDM
2009
SIAM
144views Data Mining» more  SDM 2009»
14 years 5 months ago
On Segment-Based Stream Modeling and Its Applications.
The primary constraint in the effective mining of data streams is the large volume of data which must be processed in real time. In many cases, it is desirable to store a summary...
Charu C. Aggarwal