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MICCAI
2010
Springer
13 years 6 months ago
Manifold Learning for Biomarker Discovery in MR Imaging
We propose a framework for the extraction of biomarkers from low-dimensional manifolds representing inter- and intra-subject brain variation in MR image data. The coordinates of ea...
Robin Wolz, Paul Aljabar, Joseph V. Hajnal, Daniel...
ICDM
2010
IEEE
226views Data Mining» more  ICDM 2010»
13 years 5 months ago
Edge Weight Regularization over Multiple Graphs for Similarity Learning
The growth of the web has directly influenced the increase in the availability of relational data. One of the key problems in mining such data is computing the similarity between o...
Pradeep Muthukrishnan, Dragomir R. Radev, Qiaozhu ...
ICRA
2005
IEEE
137views Robotics» more  ICRA 2005»
14 years 1 months ago
Learning Opportunity Costs in Multi-Robot Market Based Planners
— Direct human control of multi-robot systems is limited by the cognitive ability of humans to coordinate numerous interacting components. In remote environments, such as those e...
Jeff G. Schneider, David Apfelbaum, Drew Bagnell, ...
CE
2007
100views more  CE 2007»
13 years 7 months ago
Visualization of participation: Does it contribute to successful computer-supported collaborative learning?
This study investigated the effects of visualization of participation during computer-supported collaborative learning (CSCL). It is hypothesized that visualization of participat...
Jeroen Janssen, Gijsbert Erkens, Gellof Kanselaar,...
PAMI
2008
135views more  PAMI 2008»
13 years 7 months ago
MultiK-MHKS: A Novel Multiple Kernel Learning Algorithm
In this paper, we develop a new effective multiple kernel learning algorithm. First, we map the input data into m different feature spaces by m empirical kernels, where each genera...
Zhe Wang, Songcan Chen, Tingkai Sun