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» Support Vector Machine for Multiple Feature Classifcation
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CIDR
2007
156views Algorithms» more  CIDR 2007»
13 years 9 months ago
SwissQM: Next Generation Data Processing in Sensor Networks
Sensor networks are becoming an important part of the IT landscape. Existing systems, however, are limited in two fundamental ways: lack of data independence, and poor integration...
René Müller, Gustavo Alonso, Donald Ko...
AIME
2009
Springer
13 years 9 months ago
Learning Approach to Analyze Tumour Heterogeneity in DCE-MRI Data During Anti-cancer Treatment
Abstract. The paper proposes a learning approach to support medical researchers in the context of in-vivo cancer imaging, and specifically in the analysis of Dynamic Contrast-Enhan...
Alessandro Daducci, Umberto Castellani, Marco Cris...
INFFUS
2006
85views more  INFFUS 2006»
13 years 8 months ago
Fusionplex: resolution of data inconsistencies in the integration of heterogeneous information sources
Fusionplex is a system for integrating multiple heterogeneous and autonomous information sources that uses data fusion to resolve factual inconsistencies among the individual sour...
Amihai Motro, Philipp Anokhin
ASPLOS
2010
ACM
14 years 2 months ago
Speculative parallelization using software multi-threaded transactions
With the right techniques, multicore architectures may be able to continue the exponential performance trend that elevated the performance of applications of all types for decades...
Arun Raman, Hanjun Kim, Thomas R. Mason, Thomas B....
SIGIR
2006
ACM
14 years 1 months ago
Large scale semi-supervised linear SVMs
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
Vikas Sindhwani, S. Sathiya Keerthi