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114
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ISBI
2006
IEEE
16 years 1 months ago
Mixture principal component analysis for distribution volume parametric imaging in brain PET studies
In this paper, we present a mixture Principal Component Analysis (mPCA)-based approach for voxel level quantification of dynamic positron emission tomography (PET) data in brain s...
Peng Qiu, Z. Jane Wang, K. J. Ray Liu
98
Voted
SIGIR
2008
ACM
15 years 14 days ago
Directly optimizing evaluation measures in learning to rank
One of the central issues in learning to rank for information retrieval is to develop algorithms that construct ranking models by directly optimizing evaluation measures used in i...
Jun Xu, Tie-Yan Liu, Min Lu, Hang Li, Wei-Ying Ma
142
Voted
ML
2008
ACM
248views Machine Learning» more  ML 2008»
15 years 15 days ago
Feature selection via sensitivity analysis of SVM probabilistic outputs
Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...
Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Einar ...
WSC
2004
15 years 1 months ago
Using Dynamic Multiresolution Modelling to Analyze Large Material Flow Systems
The interactive, simulation-aided analysis of material flow systems is often done with the help of virtual reality. If a user wants to influence the simulation run, the simulation...
Wilhelm Dangelmaier, Bengt Mueck
88
Voted
ICIP
2003
IEEE
15 years 5 months ago
Inter-camera color calibration by correlation model function
We present a novel solution to the inter-camera color calibration problem, which is very important for multi-camera systems. We propose a distance metric and a model function to e...
Fatih Murat Porikli