Sentence examples for a joint feature for from inspiring English sources

A joint feature for the majority of these papers is that they study the operators from or to Bloch-type or Bergman-type spaces.

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.

In this paper, we propose a joint feature distribution (JFD) principle to design novel discriminative features which could be the joint distribution of features on adjacent positions or the joint distribution of different features on the same location.

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.

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.

This method utilizes Canonical Correlation Analysis (CCA) [45] for deriving a domain-invariant joint feature space to associate data from the source and target.

Fig. 2 Proposed joint feature utilization framework for human action recognition.

Firstly, we construct a 3D-based Deep Convolutional Neural Network (3D2CNN) to directly learn spatio-temporal features from raw depth sequences, then compute a joint based feature vector named JointVector for each sequence by taking into account the simple position and angle information between skeleton joints.

Second, all SNPs were ordered based on their scores and 22,000 SNPs were selected for the additional joint feature selection.