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feature descriptor

Prediction of protein–protein interaction sites by means of ensemble learning and weighted feature descriptor

Prediction of protein–protein interaction sites by means of ensemble learning and weighted feature descriptor

... weighted feature descriptor ...tive feature representation method, which can uncover distance influence of neighboring residues on interacting ...

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A Robust Invariant Feature Descriptor for Human Action Recognition

A Robust Invariant Feature Descriptor for Human Action Recognition

... novel feature descriptor combines depth images and spatial distribution of edges to represent image ...that feature works considers this yet with some transformation techniques to find summations of ...

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Compact and low complexity binary feature descriptor and Fisher Vectors for video analytics

Compact and low complexity binary feature descriptor and Fisher Vectors for video analytics

... associated feature vectors [26, 37] is further improved by tracking and coding information from inhomogeneous patches [33, 34, 38–41], which is especially useful in complex backgrounds ...the feature ...

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Deep Rule Based Aerial Scene Classifier using High Level Ensemble Feature Descriptor

Deep Rule Based Aerial Scene Classifier using High Level Ensemble Feature Descriptor

... ensemble feature descriptor is proposed for aerial scene ...the feature descriptor, the proposed approach is able to extract more discriminative representations from the local regions of ...

7

Face Emotions Recognition using Compounded Local Binary Pattern (CLBP) Feature Descriptor with Support Vector Machine (SVM)

Face Emotions Recognition using Compounded Local Binary Pattern (CLBP) Feature Descriptor with Support Vector Machine (SVM)

... face feature detection problem from a static front pose image is discussed in this ...facial feature vector exploring the (CLBP) Compound Local Binary Pattern for recognition of face emotion which overcomes ...

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Automated system for lung nodules classification based on wavelet feature descriptor and support vector machine

Automated system for lung nodules classification based on wavelet feature descriptor and support vector machine

... In Table 1, a performance comparison of 11 recent works (including this work) related to CADx systems is shown. It should be noted that in the works presented in Table 1, different methodologies were used to create the ...

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Feature Descriptor for Crowd Density Estimation

Feature Descriptor for Crowd Density Estimation

... In the Figure 4, we report the qualitative results of some of samples frames. We first divide the images into grid of bocks and then into cells. We then compute CLBP feature descriptor and then feed each ...

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Automated Pulmonary Lung Nodule Detection using an Optimal Manifold Statistical Based Feature Descriptor and SVM Classifier

Automated Pulmonary Lung Nodule Detection using an Optimal Manifold Statistical Based Feature Descriptor and SVM Classifier

... The pulmonary lung nodule is the most common indicator of lung cancer. An efficient automated pulmonary nodule detection systemaids the radiologists to detect the lung abnormalities at an early stage. In this paper, an ...

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Analysis of Video File Container Using Feature Descriptor

Analysis of Video File Container Using Feature Descriptor

... ABSTRACT: Video Forensics continues growing new innovations to check the validness and the honesty of digital videos. While a large portion of the current techniques depend on the examination of the video information ...

5

Development Of Feature Descriptor Based Methods For Images Annotation

Development Of Feature Descriptor Based Methods For Images Annotation

... ➢ Experiment II: Impact from the hierarchy level Figure 3 (a) shows the quality degradation measured for different demand levels in the three datasets. We can see that isolation include point for Label Me occurs at level ...

6

Proposed Local Tetra Patterns – An Advanced Feature Descriptor for CBIR

Proposed Local Tetra Patterns – An Advanced Feature Descriptor for CBIR

... after feature extraction, some image indexing techniques are ...(LBP) feature has been emerged in recent year in the field of “texture” classification and ...

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Unsupervised Video Shot Detection Using Clustering Ensemble with a Color Global Scale-Invariant Feature Transform Descriptor

Unsupervised Video Shot Detection Using Clustering Ensemble with a Color Global Scale-Invariant Feature Transform Descriptor

... Scale-invariant feature trans- form (SIFT) has been shown to be the most robust, invariant descriptor of local features ...local feature descriptor and cannot be extended to operate on color ...

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A Document Descriptor using Covariance of Word Vectors

A Document Descriptor using Covariance of Word Vectors

... 2017). In these trials we used the covariance fea- tures in combination with lexical and semantic fea- tures. Close to our work is (Nikolentzos et al., 2017), they build an implicit representation of doc- uments using ...

6

A Novel Shape based Descriptor for Plant Identification

A Novel Shape based Descriptor for Plant Identification

... The distance for cent quad approach is always constant. For larger objects, there would be more points defining the boundary contour whereas for smaller objects, less number of points would be used to define the shape. ...

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Mpeg-7 Visual Shape Descriptor Encryption

Mpeg-7 Visual Shape Descriptor Encryption

... author produce the security of a recently proposed MPEG- video encryption scheme based on secret Huffman tables. In this paper author shows that: 1) the key space of the encryption scheme is not sufficiently large ...

5

Data Descriptor: a database of chlorophyll a in Australian waters

Data Descriptor: a database of chlorophyll a in Australian waters

... The Australian Chlorophyll a database is available through the Australian Ocean Data Network portal AODN: https://portal.aodn.org.au/, the main repository for marine data in Australia.. [r] ...

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Condensed Matrix Descriptor for Protein Sequence Comparison

Condensed Matrix Descriptor for Protein Sequence Comparison

... The present paper develops a novel way of reducing a protein sequence of any length to a real symmetric condensed 20 × 20 matrix. This condensed matrix can be nicely applied as a protein sequence descriptor. In ...

13

Person Detection Using Image Covariance Descriptor

Person Detection Using Image Covariance Descriptor

... This paper presents a mixed HW / SW design methodology for the implementation of an image covariance descriptor.This implementation is intended for person detection and re-identification systems.It begins with a pure ...

5

MSFD Descriptor 9: Between Health and Environment

MSFD Descriptor 9: Between Health and Environment

... In order to assess in a proper way the status of national waters, Italy used, for IA purpose, both results from health and environmental monitoring. In this way it has been possible to reach a greater coverage of ...

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Latent Descriptor Clustering for Unsupervised POS Induction

Latent Descriptor Clustering for Unsupervised POS Induction

... distance between the latent descriptor for w and the centroid, i.e., Gaussian mean, for k. Unlike the Gaussian-mixture model however, we use the same mixture coefficient and the same Gaus- sian width for all k. ...

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