Feature Fusion
Hierarchical Image Retrieval by Multi-Feature Fusion
... maximum fusion, multiplication fusion, and sum fusion are ...sum fusion is much better than the other ...multi-feature fusion method is effective and has good ...
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Multi Feature Fusion for Video Captioning
... length feature vector and decoded into a sentence word by ...multi-feature fusion is proposed. Based on the mainstream pre-fusion and post-fusion methods, multi-feature ...
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Entropy-weighted feature-fusion method for head-pose estimation
... This paper proposes a novel entropy-weighted Gabor-phase congruency (EWGP) feature descriptor for head-pose estimation on the basis of feature fusion. Gabor features are robust and invariant to ...
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Fast multi scale feature fusion for ECG heartbeat classification
... a feature-fusion method based on a multi- learning subspace-learning algorithm called GND-ICA for ECG heartbeat classification is ...of feature vectors and the factor among differ- ent features are ...
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INTRAMODAL FEATURE FUSION USING WAVELET FOR PALMPRINT AUTHENTICATION
... preprocessing, feature extraction, feature fusion and ...In feature extraction, the single sample representation has become bottleneck in producing high ...intramodal feature ...
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SAR Image Target Classification: A Feature Fusion Approach
... a feature fusion based classification framework on MSTAR dataset for classifying military target in SAR image is ...texture feature and shape ...fused feature based classification provides ...
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The on line detection of engine misfire at low speed using multiple feature fusion with fuzzy pattern recognition
... Abstract: This paper proposes a technique for the on-line detection of incipient engine mis re based on multiple feature fusion and fuzzy pattern recognition. The technique requires the measurement of ...
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Sign language recognition with multi feature fusion and Adaboost classifier
... Extracting and recognizing complex human movements from video sequences is a challenging task. In this paper a complicated problem from the class is approached using Indian sign language videos. A new segmentation model ...
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Multi-feature Fusion Based Image Retrieval Scheme
... multi-feature fusion method which concentrates on extracting colour, shape as well as texture features for Content Based Image Retrieval ...Color feature of the image is extracted by using color ...
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Feature Fusion for Image Retrieval using Image Processing
... The goal of this system is to study the content-based image retrieval using different MPEG-7 descriptors. Also feature extraction of images,clustering of images, reranking of images. Goal of this system is to show ...
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A Review in Various Approaches of Feature Extraction and Feature Fusion in Multimodal Biometric System Deep Kumar
... PCA feature extraction and incorporating rich local appearance cues from two complementary sources – Gabor wavelets and LBP – showing that the combination is considerably more accurate than either feature ...
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Research on Chinese Micro blog Sentiment Classification Based on Recurrent Neural Network
... of feature fusion [12-13], which can generally be divided into two categories: pre-fusion and ...new feature set. While the post-fusion refers to training the samples respectively ...
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Multimodal Biometric System: A Feature Level Fusion Approach
... In feature-level fusion, feature sets from multiple biometric algorithms are combined into a single feature ...of feature- level fusion is detection of correlated feature ...
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PVRNet: Point-View Relation Neural Network for 3D Shape Recognition
... point-single-view fusion is performed with the point-single-view ...point-multi-view fusion feature, which exploits the point-multi-view ...cloud feature. Third, the point-single-view fu- sion ...
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Implementation of Multibiometric System Using Iris and Thumb Recognition
... The iris code is acquired from the iris image. The concatenated feature set for the fingerprint and iris is stored as single template in the database. The above process is done for enrolment stage. During the ...
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Performance Analysis of Fused Eye Vein and Finger Vein Multimodal Biometric System
... proposed fusion of hand geometry features and palmprint features, ...proposed feature fusion of face and ...get feature vectors, then combined them to a fusing vector after ...at ...
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Download Download PDF
... The feature level, unlike the match score level, lacks multi-modal fusion ...the feature level for improved human identification accuracy. Feature-fusion guidelines, proposed in our ...
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Multi-Look SAR ATR Using Two-Level Decision Fusion of Neural Network and Sparse Representation
... classifier fusion strategy is an effective way to improve the recognition rate [3], and it has been adopted in SAR ATR [4, ...information fusion is a key point in SAR ATR, which mainly lies on two aspects: ...
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Research Issues on Digital Image Processing For Various Applications in this World
... samples. Feature extraction is a general term for methods of constructing combinations of the variables to get around these problems while still describing the data with sufficient ...dimensional, feature ...
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Feature Level Fusion in Multimodal Biometric Authentication System
... Geometric feature extraction that considers only a few geometric ...by feature extraction from ear image using Neighborhood Preserving Embedding (NPE) ...
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