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A joint feature for the majority of these papers is that they study the operators from or to Bloch-type or Bergman-type spaces.
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Several semi-automatic methods for cartilage quantification have been reported [ 17- 19], including scoring systems integrating several joint features – for example, the Whole-Organ Magnetic Resonance Imaging Score [ 20].
(2) we design a set of joint feature representations for curve-path which describes different characteristics of a curve and its corresponding path.
The iterative scheme for the calculation of a mode is as follows: let χ i and z i be the 5D input and output points in the joint feature space for all i ∈ [1, n], with n being the number of pixels in color image I.
Fig. 2 Proposed joint feature utilization framework for human action recognition.
Second, all SNPs were ordered based on their scores and 22,000 SNPs were selected for the additional joint feature selection.
In [3], authors propose a joint dictionary learning mechanism for learning HR and LR dictionaries in a joint feature space, thus enforcing the similarity between HR and LR sparse coefficients.
RF has a built-in feature selection system and allows for joint features, making it not only an additive model but also a multiplicative one.
Specifically, we first introduce a joint feature-sample selection (JFSS) method for selecting an optimal subset of samples and features, to learn a reliable diagnosis model.
Semiquantitative scoring also incorporates scores for knee joint features outside cartilage such as the meniscus and bone marrow.
Likewise, efalizumab – a humanized anti-CD11a monoclonal antibody – is licensed for treatment of psoriasis but appears to be ineffective in joint disease and may indeed trigger joint features [ 21].
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