[PDF] Top 20 A Plant Recognition Method Based on Local Linear Embedding and Multi Feature Fusion
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A Plant Recognition Method Based on Local Linear Embedding and Multi Feature Fusion
... the recognition rate, this paper proposes a LBP texture feature combined with leaf shape feature, calculate LBP high-dimensional feature of the leaf rich texture information, use LLE to reduce ... See full document
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Multiple local feature representations and their fusion based on an SVR model for iris recognition using optimized Gabor filters
... Gabor feature. None of the best DI values from the SVR mod- els with the linear kernel among three datasets reflect the non-linear correlation of the Gabor energy and phase ...scores based on ... See full document
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Steerable Pyramids Feature Based Classification Using Fisher Linear Discriminant for Face Recognition
... efficient local appearance feature extraction method based the multi- resolution Steerable Pyramids (SP) transform is proposed in order to further enhance the performance of the well ... See full document
7
Space Plant Image Segmentation via Multi Scale Deep Feature Fusion
... For plant images, Kataoka et ...(CIVE) based on studies conducted in soya and sugar beet fields to separate green plants and soil ...distinguish plant pixels and soil ... See full document
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Multi-feature Fusion Face Recognition Based on Kernel Discriminate Local Preserve Projection Algorithm under Smart Environment
... Hair is a highly variable feature of human appearance. It perhaps is the most variant aspect of human appearance. Until recently, hair features have been discarded in most of the face recognition system. To ... See full document
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Facial expression recognition using local binary patterns and discriminant kernel locally linear embedding
... Facial feature extraction attempts to find the most appropriate represen- tation of facial images for ...facial feature detection, which is difficult to realize in real-time ...[4], linear ... See full document
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3D FACE RECOGNITION USING LOCAL FEATURE BASED METHODS
... score-level fusion is done by a genetic algorithm. Keypoint detection based on the curvelet transform on textured 3D face surfaces is employed in ...[7]. Feature-based multimodal method ... See full document
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LLE Score:A New Filter based Unsupervised Feature Selection Method Based on Nonlinear Manifold Embedding and Its Application to Image Recognition
... of feature selection is to find the most representative features from the original high-dimensional ...Locally Linear Embedding (LLE), which is a popular manifold learning method, in ... See full document
13
Cryptographic Algorithm based Feature Level Fusion of Fingerprint and Iris in a Multi Biometric Recognition System
... Biometric Recognition is based on the anatomical and behavior attributes of the ...proficient method to give security to the framework, the template which was produced from the biometric should be ... See full document
7
Plant Recognition Based on Multi Feature and Locality Preserving Projections Fusion Algorithm
... research, plant classification based on image features is a hot research topic in plant taxonomy [1] ...international recognition method based on leaf images are divided into two ... See full document
6
Spectral Graph Based Method of Multimodal Word Embedding
... on feature norms (or attributes) like “is brown”, “has fangs”, ...word embedding. In addition, the feature norms are expensive to obtain, and hence we cannot expect them for a large number ... See full document
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Bimodal Biometric Recognition Using PCA
... Direct fusion is done where features of both the modalities are concatenated to form a single ...in recognition stage. For recognition purpose, Euclidean distance method is ... See full document
6
Review on Multiple Classifier System in Pattern Recognition
... emotion recognition in Mandarin speech”; for experiment author combines KNN, WKNN, WCAP, W-DKNN and SVM classifiers and combining their output Majority Voting ...Emotion Recognition by Early Fusion ... See full document
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Multi-feature Fusion Tracking Based on A New Particle Filter
... She is a professor of Lanzhou University of Technology, doctoral tutor, and the "second level" candidates of Gansu leading talent. She presided over the completion of the "Gelatin production process of ... See full document
9
New Distributed Data Fusion Using Pregel For Large Text Dataset
... after fusion of these data, desired query can be executed as early as ...data fusion techniques and the analysis of different survey papers related to data fusion and its techniques used in different ... See full document
9
A Survey on Face Recognition Process
... face recognition. This method,whole images are taken into ...problem.This method can be linear or non linear .In Global method ,each pixel in image are considered as valuable ... See full document
11
Texture Feature Based Local Binary Pattern for Smile Recognition
... In experiment of this paper we have taken five databases images which consists both smile images and NON SMILE images. For those SMILE and NON-SMILE images we are going to apply the proposed operaters that is LBP and ... See full document
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Cross-view Gait Recognition Based on Spatio-temporal Feature Fusion
... The proposed STGNet is consists of two independent two-dimensional convolutional neural networks, which is SGNet and TGNet, the first network is used to extract spatial information of the gait, and the second network is ... See full document
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Stable Local feature based Age Invariant Face Recognition
... Face recognition is an important biometric technique which does not require the cooperation of the ...face recognition makes it different from other biometric techniques like fingerprint, iris, and hand ... See full document
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Performance Improvement Of Data Fusion Based Real Time Multi Layered Gesture Recognition Using One-Shot Learning Approach With Kinect V2.
... Gesture recognition offers a new medium for human-computer interaction that can be both efficient and highly ...data fusion based l multi-layered gesture recognition method using ... See full document
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