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» Temporal Data Classification Using Linear Classifiers
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121
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MICCAI
2010
Springer
15 years 1 months ago
Generalized Sparse Classifiers for Decoding Cognitive States in fMRI
The high dimensionality of functional magnetic resonance imaging (fMRI) data presents major challenges to fMRI pattern classification. Directly applying standard classifiers often ...
Bernard Ng, Arash Vahdat, Ghassan Hamarneh, Rafeef...
122
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VISSYM
2004
15 years 3 months ago
A Cluster-Space Visual Interface for Arbitrary Dimensional Classification of Volume Data
In volume visualization, users typically specify transfer functions to classify the data and assign visual attributes to each material class. Higher-dimensional classification mak...
Fan-Yin Tzeng, Kwan-Liu Ma
IGARSS
2009
15 years 8 days ago
Spatially Adaptive Classification of Hyperspectral Data with Gaussian Processes
Automated classification of land cover types based on hyperspectral imagery often involves a large geographical area, but class labels are available for only small portions of the...
Goo Jun, Joydeep Ghosh
101
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ESANN
2008
15 years 4 months ago
K-nearest neighbours based on mutual information for incomplete data classification
Incomplete data is a common drawback that machine learning techniques need to deal with when solving real-life classification tasks. One of the most popular procedures for solving ...
Pedro J. García-Laencina, José-Luis ...
156
Voted
ASIAN
2007
Springer
174views Algorithms» more  ASIAN 2007»
15 years 8 months ago
Combining Heterogeneous Classifiers for Network Intrusion Detection
Extensive use of computer networks and online electronic data and high demand for security has called for reliable intrusion detection systems. A repertoire of different classifier...
Ali Borji