Feature Based Approach
Conceptual Representation in Bilinguals: A Feature-Based Approach
... found that even highly proficient bilinguals activate somewhat different meanings for translation equivalent words depending on the language of the task. Therefore, they argue that bilinguals have both shared and ...
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Sketch to Photo Matching: A Feature-based Approach
... local feature-based method for matching facial sketch images to face photographs, which is the first known feature-based method for performing such ...SIFT feature descriptors, (2) in a ...
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A Feature-Based Approach to Conceptual Design Process
... Product design is an iterative, complex and decision-making process, performed by designers. It usually starts with recognising and specifying requirements and demands, followed by searching for an optimum solution for ...
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"A Novel Feature Based Approach for Indoor Monocular SLAM"
... 2D-2D feature correspondences in two or more frames, it is only possible to estimate the depth of corresponding features with a scale ...of feature points with a known 3D location or a known CAD model is ...
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Inducing a Lexicon of Abusive Words – a Feature Based Approach
... 6.2 Results In Table 10, we list the performance of the 3 state- of-the-art classifiers along with our proposed clas- sifier using our expanded lexicon on in-domain 10-fold crossvalidation. Due to space limitations, we ...
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Sarcasm Detection on Twitter using Feature-Based Approach
... Our proposed approach achieves an accuracy of 90% by using all the features together for sarcasm recognition. KEYWORDS: Sarcasm detection; Twitter; Sentiment analysis; NLP; Feature extraction I. ...
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A feature based approach for monocular camera tracking in unknown environments
... Tehran, Iran [email protected] Abstract—Camera tracking is an important issue in many compute r vision and robotics applications, such as, augme nte d re ality and Simultaneous Localization And Mapping (SLAM). In ...
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A Feature-Based Approach to Automating High-Level Process Planning
... selected based on rules that consider the geometry of the ...Each feature on the part is assessed as to whether the primary process can also form the ...a feature, then the system finds the ...
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Better Automatic Treebank Conversion Using A Feature Based Approach
... where each state is represented as a feature vector. In the testing phase, the trained classifier is used to choose actions for state transition. Moreover, beam search strategies can be used to expand the search ...
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A Feature-based Approach to Big Data Analysis of Medical Images
... All feature extraction was performed on a commodity cluster computing system over the course of several ...the feature data requires only ...440X. Feature extraction can thus be viewed as a form of ...
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Design of image stitching model using feature based approach
... E. Blending and composition Once we have registered all of the input images with respect to each other, we need to decide how to produce the final stitched image. This involves selecting a final compositing surface, ...
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Hierarchical Image Segmentation Using a Combined Geometrical and Feature Based Approach
... segmentation approach was introduced in this paper. The proposed approach uses a hierarchical multi-layer segmentation scheme with a tree-based search mechanism to inspect the consistency of ...
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Infinite feature selection: a graph-based feature filtering approach
... The Feature Selection concaVe (FSV) [ 11 ] generates a separating plane by minimizing a weighted sum of distances of misclassified points to the two margin planes, minimizing the number of dimensions of the space ...
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A cluster based hybrid feature selection approach
... final feature subset is determined by the use of the Simplified Silhouette (SS) criterion, whereas in our approach it is determined by the very own classifier that will be later ...+1 feature subsets, ...
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Filter – PSO based approach for Feature Selection
... Filter-PSO based approach for feature selection called PSOFFS ...filter based feature ranking and feature selection technique such as Information gain (InfoGainAttributeEval), ...
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Behavioral –based feature selection approach in NIDS
... The intrusion detection system and the conception of security might be threatening and complex. To develop a tool that arbitrate the user and the operations to achieve security goals is the objective of the paper. ...
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An incremental approach to MSE-based feature selection
... manual feature selection is often impossible to achieve due to the large number of ...Therefore, feature selection is necessary in these problems. The goal of feature selection is to find those ...
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A clustering based approach to reduce feature redundancy
... designing feature weighting clustering ...each feature, representing their degree of relevance, in a data ...one feature at a time they may have difficulties to cluster data sets containing features ...
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Ontology-guided approach to feature-based opinion mining
... improve feature-based opinion mining by employing ontologies in the selection of features and to provide a new method for sentimental analysis based on vector ...
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A New Malware Classification Approach based on Statistical Feature
... Statistical Feature, Ensemble learning, Malware ...learning based malware classification techniques are able to discriminate different malware families and improve existing anti-malware ...dimensional ...
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