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feature combination

Feature combination networks for the interpretation of statistical machine learning models: application to Ames mutagenicity

Feature combination networks for the interpretation of statistical machine learning models: application to Ames mutagenicity

... this feature can be seen as a suc- cessful identification of a mutagenic feature by the ...the feature, standard + RF finds it in a larger context, extended + SVM again finds it in a larger context ...

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A Survey on CBIR using Low Level Feature Combination

A Survey on CBIR using Low Level Feature Combination

... shape feature for describing an object is because of its inherent properties such as identifiability, affine invariance, and reliability and occlusion invariance, thus shape of the object has proved to be a ...

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A New Approach of Feature Combination for Object Detection in Saliency based Visual Attention

A New Approach of Feature Combination for Object Detection in Saliency based Visual Attention

... fuzzy combination method for combining conspicuity maps instead of linear ...nonlinear combination operator. By doing this, the combination rules were created purposefully in direction of ...

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A Novel Video Content Understanding Scheme Based on Feature Combination Strategy

A Novel Video Content Understanding Scheme Based on Feature Combination Strategy

... However, as different approaches extract different kind of video features, it is hard to scale these approaches’ effect from a benchmark. What is more, the extracted features such as color histogram and texture are ...

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Effect of Texture Feature Combination on Satellite Image Classification

Effect of Texture Feature Combination on Satellite Image Classification

... Scatter analysis method adopts to implement the feature selection function. The use of this method is due to it is an efficient and operated during little time of comparisons between contributed features. The ...

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Ayurvedic Plant Leaves Classification Using combination of Features Feature

Ayurvedic Plant Leaves Classification Using combination of Features Feature

... explores feature vectors from both the front and back side of a green leaf along with morphological features to arrive at a unique optimum combination of features that maximizes the identification ...

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Hierarchical Fuzzy Feature Similarity Combination for Presentation Slide Retrieval

Hierarchical Fuzzy Feature Similarity Combination for Presentation Slide Retrieval

... This paper proposes a novel XML-based system for retrieval of presentation slides to address the growing data mining needs in presentation archives for educational and scholarly settings. In particular, contextual ...

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A Combination of Feature Selection and Co occurrence Matrix Methods for Leukocyte Recognition System

A Combination of Feature Selection and Co occurrence Matrix Methods for Leukocyte Recognition System

... the combination of color and texture features of the blood cell ...the Feature Selection method and the Window Cropping method; while the Value feature is processed by its texture information using ...

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Combination of Different Feature Sets and SVM Classifier for Handwritten Gurumukhi Numeral Recognition

Combination of Different Feature Sets and SVM Classifier for Handwritten Gurumukhi Numeral Recognition

... Figure 3 (a) 8-different directions for computing directional distribution(b)Mask used to compute background directional distribution in direction d3. To compute directional distribution value for foreground pixel “X‟ in ...

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Online Full Text

Online Full Text

... and feature. We use the feature sets of type actor, genre, ...each feature is assigned according to the implicit rating of user for all training data contents including that ...actor feature ...

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The Feature Subspace Method for SMT System Combination

The Feature Subspace Method for SMT System Combination

... for feature function estimation such as using dif- ferent word alignment models, language models or distortion ...the feature tweaking in this solu- tion is system or language specific, thus for any new ...

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The Diagnosis of Epilepsy by Gravitational Search Algorithm and Support Vector Machines

The Diagnosis of Epilepsy by Gravitational Search Algorithm and Support Vector Machines

... selection, feature selection and SVM parameters opti- ...and feature selection, 20 masses for instance selection of normal subjects and 20 masses for instance selection of patients with epilepsy) is given ...

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Stock Prediction using ARMA

Stock Prediction using ARMA

... methods, feature-based mosaicing techniques make use of feature-to-feature matching so as to be able to compute the geometric transformation between a pair of ...on feature extraction ...

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A Review Paper on Fault Diagnosis Schemes for Induction Motors

A Review Paper on Fault Diagnosis Schemes for Induction Motors

... the feature selection process but it is less computationally intensive that the genetic algorithm based ...rotated feature space. The main point is that the drive behind the feature selection process ...

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An analysis of content free dialogue representation, supervised classification methods and evaluation metrics for meeting topic segmentation

An analysis of content free dialogue representation, supervised classification methods and evaluation metrics for meeting topic segmentation

... Two aspects are essential for content-free topic segmentation: classification method and feature set selection. I study these two aspects separately and introduce clas- sification schemes in this section. ...

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Combination of Feature Engineering and Ranking Models for Paper-Author Identification in KDD Cup 2013

Combination of Feature Engineering and Ranking Models for Paper-Author Identification in KDD Cup 2013

... Another challenge of name matching comes from the inconsistency of the name order. There are two main name orders in the provided data, the Western order and the Eastern order. The Western order means that given names ...

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Dynamic iris biometry: a technique for enhanced identification

Dynamic iris biometry: a technique for enhanced identification

... a combination of integrodifferential operators and the cir- cular Hough transform to obtain an approximation of pupil centre and to provide an improved starting point for the integrodifferential ...

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A COMPARATIVE STUDY OF LRC, NNLS, KNN, AND SPARSE REPRESENTATION BASED CLASSIFICATION METHODS BASED ON AUDIO FEATURES

A COMPARATIVE STUDY OF LRC, NNLS, KNN, AND SPARSE REPRESENTATION BASED CLASSIFICATION METHODS BASED ON AUDIO FEATURES

... to feature extraction, where low- level features derived directly from audio signals are used to derive mid-level representations, which can in turn be used to derive increasingly high-level features that are ...

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Mechanics homogenization Algorithm and Optimization Design of the Flexible Manipulator Based on the Bionics

Mechanics homogenization Algorithm and Optimization Design of the Flexible Manipulator Based on the Bionics

... shape feature and combination of the minute palm slices, such manipulator through the simulation is constructed by determination of the regional average pressure on all the minute palm slices, and by ...

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Research on Flame Detection Method by Fusion Feature and Sparse Representation Classification

Research on Flame Detection Method by Fusion Feature and Sparse Representation Classification

... of feature signal x of the flame area and the column of over-complete dictionary matrix F of the flame ...from feature matrix F that has largest absolute value of the inner product with feature ...

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