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ICCV
2007
IEEE
15 years 12 months ago
Support Kernel Machines for Object Recognition
Kernel classifiers based on Support Vector Machines (SVM) have recently achieved state-of-the art results on several popular datasets like Caltech or Pascal. This was possible by...
Ankita Kumar, Cristian Sminchisescu
CVPR
2011
IEEE
14 years 9 months ago
Support Tucker Machines
In this paper we address the two-class classification problem within the tensor-based framework, by formulating the Support Tucker Machines (STuMs). More precisely, in the propos...
Irene Kotsia, Ioannis Patras
CLUSTER
2002
IEEE
15 years 10 months ago
Leveraging Standard Core Technologies to Programmatically Build Linux Cluster Appliances
Clusters have made the jump from lab prototypes to fullfledged production computing platforms. The number, variety, and specialized configurations of these machines are increasi...
Mason J. Katz, Philip M. Papadopoulos, Greg Bruno
DMKD
1997
ACM
198views Data Mining» more  DMKD 1997»
15 years 9 months ago
Clustering Based On Association Rule Hypergraphs
Clustering in data mining is a discovery process that groups a set of data such that the intracluster similarity is maximized and the intercluster similarity is minimized. These d...
Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad...
ISSAC
2009
Springer
139views Mathematics» more  ISSAC 2009»
16 years 3 days ago
Multihomogeneous resultant formulae for systems with scaled support
Constructive methods for matrices of multihomogeneous resultants for unmixed systems have been studied in [7, 14, 16]. We generalize these constructions to mixed systems, whose Ne...
Ioannis Z. Emiris, Angelos Mantzaflaris