Exact(2)
In this chapter, we focus on the issue of feature space complexity when performing texture classification in medical images.
In this work, we discuss the issue of feature selection under the monotonicity constraint based on the principle of large margin.
Similar(57)
Note that CLNF is a novel instance of the Constrained Local Model (CLM) [11] that deals with the issues of feature detection in the complex scene.
Most of this work addresses the issues of feature selection, classifier parameter tuning, and the inherent difficulty in producing reliable "ground truth" databases for training and testing classifiers.
Until now, the two issues of feature selection and parameter optimization are usually treated separately, weakening the effects of both efforts.
In order to simultaneously explore the both issues of feature selection and oversampling, we efficiently combine two different methodological approaches in an unified kernel framework.
For heterogeneous transfer learning tasks, one may face the issue of differing feature spaces along with any combination of differing feature dimensions, label spaces, or data distributions.
This bridge, in essence, can be used to solve the issue of differing feature spaces.
In either category, once the issue of varied feature spaces is resolved we may need to solve marginal and/or conditional distribution differences.
A 1971 issue of Gay featured an interview that Leitsch had conducted with a twenty-five-year-old Bette Midler.
The August 22nd issue of Time featured, on its "Briefing" page, a quote from a grieving mother about her dead son.
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