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TMM
2010
231views Management» more  TMM 2010»
13 years 4 months ago
Real-Time Visual Concept Classification
As datasets grow increasingly large in content-based image and video retrieval, computational efficiency of concept classification is important. This paper reviews techniques to ac...
Jasper R. R. Uijlings, Arnold W. M. Smeulders, Rem...
TMI
2002
101views more  TMI 2002»
13 years 9 months ago
Electrical Impedance Tomography
Abstract. This paper surveys some of the work our group has done in electrical impedance tomography. Key words. electrical impedance tomography, pulmonary embolus, inverse boundary...
Jonathan C. Newell, David Isaacson, Jennifer L. Mu...
ICDE
2008
IEEE
195views Database» more  ICDE 2008»
14 years 11 months ago
Scalable Rule-Based Gene Expression Data Classification
Abstract-- Current state-of-the-art association rule-based classifiers for gene expression data operate in two phases: (i) Association rule mining from training data followed by (i...
Mark A. Iwen, Willis Lang, Jignesh M. Patel
KDD
2008
ACM
181views Data Mining» more  KDD 2008»
14 years 10 months ago
Learning subspace kernels for classification
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Min...
CVPR
2008
IEEE
15 years 6 days ago
In defense of Nearest-Neighbor based image classification
State-of-the-art image classification methods require an intensive learning/training stage (using SVM, Boosting, etc.) In contrast, non-parametric Nearest-Neighbor (NN) based imag...
Oren Boiman, Eli Shechtman, Michal Irani