a facial expression classification system integrating canny, principal component analysis and artificial neural network

... using Canny, Principal Component Analysis (PCA) and Artificial Neural Network (ANN) apply for facial expression classification. Canny and PCA apply for local facial feature extraction. A facial ... with Rapid Facial Expression Classification Using Artificial Neural Network [10], Facial Expression Classification Using Multi Artificial Neural...

Ngày tải lên: 28/04/2014, 10:06

... (Canny_PCA_ANN) improved the Classification Accuracy than Rapid Facial Expression Classification Using Artificial Neural Networks [10] and Facial Expression Classification Using Multi Artificial ... proposal method. Index Terms— Artificial Neural Network (ANN), Canny, Facial Expression Classification, Principal Component Analysis (PCA). I. I NT...

Ngày tải lên: 28/04/2014, 10:06

... as feed-forward neural network and back propagation are its fast training speed and local feature convergence [12]. Thus, in this paper, RBF neural network is used as a classifier in a facial ... communications. For facial expression classification, data from static images or video sequences are used. In fact, there have been many approaches for facial expressio...

Ngày tải lên: 28/04/2014, 10:17

... classic statistical technique of factor analysis (FA). It is called principal factor analysis [166]. Generally, the goal in factor analysis is different from PCA. Factor analysis was originally ... 6 Principal Component Analysis and Whitening Principal component analysis (PCA) and the closely related Karhunen-Lo ` eve trans- form, or the Hotelling transform, are clas...

Ngày tải lên: 23/12/2013, 07:19

... on JAFFE database consisting 213 images posed by 10 Japanese female models. Keywords: Facial Expression, Multi Artificial Neural Network (MANN), 2D -Principal Component Analysis (2D-PCA). 1. ... This is a wrong result classification. One other approach is popular at present is to use Artificial Neural Network for the pattern classification. Artificial Neural...

Ngày tải lên: 28/04/2014, 10:06

... many Neural Networks together, so we call it Multi Artificial Neural Network (MANN). 3 Multi Artificial Neural Network apply for image classification 3.1 The proposal MANN model Multi Artificial ... Artificial Neural Network (MANN), applying for pattern or image classification with parameters (m, L), has m Sub -Neural Network (SNN) and a global frame (G...

Ngày tải lên: 28/04/2014, 10:06

... results are used. 43 learning data are used for training the ANN model, and the others are used for the comparison Data Collection Data Normalization Parametric Studies Training and Testing ANN ... the field data. In particular, these differences are increase at the high strain rate range. The reason is that ANN model has not a lot of database on the high strain rate. To elimina...

Ngày tải lên: 22/03/2013, 15:01

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Ngày tải lên: 13/02/2014, 12:20

... Average reaction times and errors for the grapheme frequency and grapheme entropy (uncertainty) manipulations (standard deviations are indicated into parentheses) in the immediate and delayed naming ... in a immediate naming and a delayed naming task with the same stimuli. In the immediate naming condition, participants were instructed to read aloud pseudowords as quickly and...

Ngày tải lên: 20/02/2014, 19:20

... Probabilistic Latent Semantic Analysis with Principal Component Analysis Ayman Farahat Palo Alto Research Center 3333 Coyote Hill Road Palo Alto, CA 94304 ayman.farahat@gmail.com Francine Chen Palo ... 1 PLSA, and 1 LSA- PLSA model and 2) 1 LSA-PLSA with 3 PLSA models. We also compared these models against the performance of an averaged model without an LSA-PLSA model: 1 LSA and...

Ngày tải lên: 22/02/2014, 02:20