Abstract. We deal with two important problems in pattern recognition that arise in the analysis of large datasets. While most feature subset selection methods use statistical techn...
Service oriented computing and peer-to-peer (P2P) computing are emerging technologies which provide, from the architectural point of view, scalability and flexibility. From their...
The meta-learner MLR (Multi-response Linear Regression) has been proposed as a trainable combiner for fusing heterogeneous baselevel classifiers. Although it has interesting prope...
Gliomas are diffuse, invasive brain tumors. We propose a 3D classification-based diffusion model, cdm, that predicts how a glioma will grow at a voxel-level, on the basis of featur...
Abstract. Intensity-based classification of MR images has proven problematic, even when advanced techniques are used. Intra-scan and interscan intensity inhomogeneities are a comm...
William M. Wells III, W. Eric L. Grimson, Ron Kiki...