robust feature
Robust Feature Selection Using Ensemble Feature Selection Techniques
... the feature selection process is important, as domain experts would prefer a stable feature selection algorithm over an unstable one when only small changes are made to the ...dataset. Robust ...
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IMPLEMENTATION OF SPEED UP ROBUST FEATURE FOR DETECTION AND TRACKING OF INANIMATE OBJECTS
... Up Robust Feature in development of a Detection and Tracking System for inanimate ...Up Robust Feature available in EmguCV libraries which are used for the image processing and computer vision ...
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An occlusion-robust feature selection framework in pedestrian detection
... a robust feature selection framework for pedestrian ...candidate feature list in the final training ...alternating feature selection criterion which takes into account the occlusion ...
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Robust Feature Extraction to Utterance Fluctuation of Articulation Disorders Based on Random Projection
... PCA-based feature extraction has been studied. Also, [11] proposed a robust feature extraction method based on PCA instead of DCT in a dysarthric speech recognition task, where the main stable ...
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Learning from noisy data through robust feature selection, ensembles and simulation-based optimization
... of feature redundancy in high-dimensional problems as well as data ...for robust feature selection based on the neighborhood entropy, ii) an approach based on ensembles for robust salary ...
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Implementation of Speeded Up Robust Feature Algorithm for Real Time Logo Detection
... Logo detection in unconstrained pictures is testing, especially when just exceptionally inadequate marked preparing pictures are open because of high naming expenses. In this work, we depict a model preparing picture ...
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Digital Image Watermarking in Robust Feature Region Set
... is feature based watermarking. For getting robust watermark, the watermark should be embedded in silent part of the data and for these significant features of data is ...of feature extraction as ...
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Lane Marking Detection in Various Lighting Conditions using Robust Feature Extraction
... Robustly extracting the features of lane markings under different lighting and weather conditions such as shadows, glows, sunset and night is the a key technology of the lane departure warning system (LDWS). In this ...
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Robust feature representation for classification of bird song syllables
... Bird song analysis is only one of various several appli- cations of time-frequency (TF) analysis of non-stationary signals and a significant number of approaches in this important field has been suggested. Since its ...
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A Robust Feature Subsection Selection Algorithm Using GRASP
... In this paper a new feature selection algorithm for high-dimensional datasets, named SAGRASP, was proposed. It uses the GRASP algorithm as its basic frame t with an extended version of SA as a local search ...
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Robust Feature Detection for Facial Expression Recognition
... a robust and adaptable facial feature extraction system used for facial expression recognition in human- computer interaction (HCI) ...single feature extraction technique may fail in some parts of a ...
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A Robust-Equitable Measure for Feature Ranking and Selection
... of feature selection by the filter method mRMR (Peng et ...a feature search strategy and using various dependence measures as measures of rel- evance and redundancy (refer to Equation ...the feature ...
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Video Co-segmentation Based on Speed up Robust (SURF) Feature Detector
... up robust feature transform uses an entire number gauge of the determinant of Hessian blob pointer, which can be handled with 3 number operations using a precompiled vital ...
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Noise-robust speech feature processing with empirical mode decomposition
... speech feature extraction. Noise-robust feature post-processing techniques, such as cepstral mean subtraction (CMS) [5], cepstral variance normali- zation (CVN) [6], and histogram equalization (HEQ) ...
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Robust Video Target Tracking Based on Multi-feature Fusion and H∞ Filtering
... distribution feature includes not only the color statistics but also the color spatial position information, which can provide better accuracy in color feature ...Single feature cannot be viewed as ...
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Efficient and Robust Multimodal Biometric System for Feature Level Fusion (Speech and Signature)
... In this work an offline signature verification system and speaker verification system are combined as these modalities are widely accepted and natural to produce. Although this combination of multimodal enhances security ...
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Facial Feature Localization Using Robust Active Shape Model and POEM Descriptors
... Abstract—Active Shape Model (ASM) has been shown to be a powerful tool for image interpretation, especially in feature points localization for face image. The original ASM model parameter estimation is based on ...
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Robust braille recognition system using image preprocessing and feature extraction algorithms
... The project will cover noise removal and feature extraction in order to convert the input Braille characters image line by line to a computer text file by applying Gray scale conversion,[r] ...
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Recognition of Noisy Speech: A Comparative Survey of Robust Model Architecture and Feature Enhancement
... 2.4. Architecture for Speech Modelling. The most popular model architecture to represent speech characteristics in automatic speech recognition is Hidden Markov Models [11]. Apart from optimising the principle of ...
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Feature selection based on robust LLE vote and its application to bearing fault diagnosis
... Constraint score[24], a semi-supervised feature selection method, can deal with partial label information. It utilizes the pairwise constraints. Specifically, when the pairwise belong to the same class, must-link ...
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