Sentence examples for multiple feature extraction from inspiring English sources

In this work, a new computational method, WAP-Palm, combining multiple feature extraction, has been developed to predict the palmitoylation sites of proteins.

An advantage of our multiple feature extraction is lower computational complexity because both features can be calculated by only one Gabor transformation.

(1) JPPRED adopts multiple feature extraction strategies, including SAAC, PseAAC, and PSSM, which are related to the properties of different types of J-proteins.

Inspired by the multiple scale feature extraction and weighted dissimilarity calculation methods of models for "visual saliency" [35, 36], we designed our local feature detection method for visual secret sharing schemes specifically.

In this paper, we propose a Multiple-Instance Feature Extraction (MIFE) framework to design algorithms at both the bag and instance levels based on the Maximum Trace-Difference criterion, which simultaneously maximizes between-class scattering and minimizes within-class scattering.

In this context, this paper attempts to build a scalable deep kernel machines with multiple layers of feature extraction.

In this direction, Multilayer Kernel Machines (MKMs) was an attempt to build a kernel machine architecture with multiple layers of feature extraction.

We carried out multiple rounds of feature extraction each being in a cluster of different number of nodes.

This could be accomplished by using multiple cameras for visual feature extraction.

We adopted feature extraction in multiple scales to detect the broad contour regions.

Our modular approach consists of feature extraction from multiple information sources including various affective cues and different classification procedures such as Support Vector Machines (SVM) and k-Nearest Neighbor (kNN).