Sentence examples for multiple feature representations from inspiring English sources

One possible solution to this problem is to use a multiple-classifier system (MCS) based on multiple feature representations.

In addition, several future work directions on LOR would be: (1) The integration of multiple feature representations of the target as well as the compound using other descriptors or profiles.

The multiple feature representation, such as detailed in [34], can offer more reliable characterization of features, and therefore cryptosystem based on multiple-palmprint representation can be considered for the extension of this work.

This paper provides multiple local feature representations and their fusion scheme based on a support vector regression (SVR) model for iris recognition using optimized Gabor filters.

Besides testing the performance ability of the six local shape descriptors described in Section 4.2, we examine the potential of MKL to fuse multiple features with different representation properties.

We will also introduce multiple architectures of deep neural networks and training strategies to learn the feature representations for crowd analysis.

Instead of using multiple models in a bag, we design a single multitask CNN for learning effective feature representations of the target object.

The local feature representations encoded by 3mDNN exhibit two significant advantages: (1) involving the information of multiple descriptors and (2) exhibiting discriminative ability.

The feature representations consisted of (64times 20timatricesmatrices.

Efficient feature representations are selected using a sparse Bayesian approach.

This hierarchical model shows great potential in feature representations.