[PDF] Top 20 Kernel optimization-based discriminant analysis for face recognition
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Kernel optimization-based discriminant analysis for face recognition
... of kernel function and its parameter influences the performance of kernel learning ...different kernel and its parameters. The traditional changing only the kernel parameters method will not ... See full document
5
Kernel Discriminant Transformation for Image Set-Based Face Recognition
... set-based face recognition system based upon a novel kernel discriminant transformation (KDT) algo- ...the kernel Fisher’s discriminant to implicitly optimize T ... See full document
7
Face recognition using Gabor-based complete Kernel Fisher Discriminant analysis with fractional power polynomial models
... novel face recognition method by integrating the Gabor wavelet representation of face images and the enhanced powerful discriminator, complete Kernel Fisher Discriminant (CKFD) with ... See full document
4
Kernel Self-optimized Locality Preserving Discriminant Analysis for featureextraction and recognition
... method, Kernel Self-optimized Locality Preserving Discriminant Analysis (KSLPDA), is proposed in this ...data-dependent kernel with kernel self-optimization method and seeking ... See full document
4
Adaptive quasiconformal kernel discriminant analysis
... Linear discriminant analysis (LDA) is a traditional dimensionality reduction technique for feature ...the kernel trick is used to represent the complicated nonlinear relationships of input ... See full document
3
3D Reconstruction and Face Recognition Using Kernel-Based ICA and Neural Networks
... scheme based on the basic reflectance ...human face as a 3D model, we use kernel independent component analysis (KICA) to obtain the face’s surface normal vector on each point of the ... See full document
15
Using Kernel Discriminant Analysis to Improve the Characterization of the Alternative Hypothesis for Speaker Verification
... function based on two perspectives: a weighted geometric combination (WGC) and a weighted arithmetic combination (WAC) of the likelihoods of the background ...apply kernel-based techniques, namely ... See full document
10
Class-specific kernel linear regression classification for face recognition under low-resolution and illumination variation conditions
... PCA+Mahalanobis, kernel-based PCA, LDA+Euclidean, LDA+Mahalanobis, kernel-based LDA, SRC, LPP, NPE, and LBP for the low-resolution face recognition under illumination ... See full document
9
Integration of Likelihood and Transition Measures for Video-Based Face Recognition
... of face recognition within a still image, ...observing face image is. Two-dimensional linear discriminant analysis (2DLDA) is employed to judge the likelihood ...approach for the ... See full document
8
Face Recognition Based on Projected Color Space With Lighting Compensation
... two discriminant projection matrices simultaneously for recog- ...many recognition methods, such as principal component anal- ysis (PCA) or linear discriminant analysis (LDA), have been ... See full document
2
Preserving Complete Subspace Structure Projection for Face Recognition
... Face recognition has become a very active research area in recent years due to its wide ...various face recognition algorithms, one of the most successful techniques is the ... See full document
4
Face detection and face recognition based on discriminating features under lower illumination 徐茂翔、黃登淵
... of face recognition has a significant influence on our daily life due to its broad applications such as public security, surveillance system, identity authentication, and access ...feature, face ... See full document
3
Face Recognition using Principle Component Analysis
... authors. For the accuracy of the experiments, the training set should not overlapped the test ...identification for the known faces which is trained by the ...known face or unknown is kind of hard ... See full document
7
Quantification and recognition of parkinsonian gait from monocular video imaging using kernel-based principal component analysis
... gait analysis, facilitate data collection and gait analysis, and lower a patient’s level of exertion during the ...gait analysis approach that is different from other sensor- or marker- based ... See full document
21
Why recognition in a statistics-based face recognition system should be based on the pure face portion: a probabilistic decision-based proof
... di!erent face databases were ...synthesized face database which contained a set of syn- thesized face ...synthesized face image con- sisted of two parts: one was the middle face portion ... See full document
11
Probabilistic Facial Trait Code for Face Recognition
... TES for that ...pattern. For each trait pattern in a facial trait, a SVM classifier is trained using the one- to-the-rest ...pattern. For this face, the hard codeword yields an incorrect ... See full document
4
A Novel Biometric Classifier for Face Recognition
... Keywords: Face recognition; wavelet transform; probabilistic neural network; ...1.Introduction Face recognition [1-6] is the process of automatically differentiating people on the basis of ... See full document
5
Local Ensemble Kernel Learning for Object Category Recognition
... ensemble kernel learning technique to recognize/classify objects from a large number of diverse ...unified kernel-based classifier may not satisfactorily solve the ...the recognition task with ... See full document
8
Illumination Normalization of Facial Images for Face Recognition
... problem for face recognition, most of the existing methods either use extracted small-scale features and discard large-scale features, or perform normalization on the whole ...image for ... See full document
11
Combining Multiple Features for High Performance Face Recognition System
... network for facial ...of face gray level values as feature vectors, which is applied with probabilistic neural network in facial identification and facial ...ORL face database for face ... See full document
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