Automatic text extraction using DWT and Neural Network

... extract texts in static images or video sequences using DWT and neural network. DWT decomposes one original image into four sub-bands. The transformed image includes one average component sub-band and ... text regions. Keywords Text extraction, DWT, Neural Network 1. Introduction Text extraction plays an important role in static images and video sequences analysis. Texts provide important information ... Automatic Text Extraction Using DWT and Neural Network Po-Yueh Chen (陳伯岳), Chung-Wei Liang (梁忠瑋) Department of Computer Science and Information Engineering, Chaoyang...

Báo cáo khoa học: "Fast Semantic Extraction Using a Novel Neural Network Architecture" docx

... describe a novel neural network archi-tecture for the problem of semantic role la-beling. Many current solutions are compli-cated, consist of several stages and hand-built features, and are too ... Software for our method, SENNA (Se-mantic Extraction using a Neural Network Archi-tecture), more details on its implementation, an on-line applet and test set predictions of our systemin comparison ... PropBank test set,showing Neural Net and ASSERT and gold standardlabelings, with per-word accuracy in brackets. Notethat even though our labeling does not match thehand-annotated one in the...

facial expression using pca and neural network

... using Neural Network Face Image Edge Detection using Canny Feature Extraction using PCA Figure 3. Local region detection using Canny Figure 4. Facial feature extraction ... than Rapid Facial Expression Classification Using Artificial Neural Networks [10] and Facial Expression Classification Using Multi Artificial Neural Network [11] (only used ANN). Beside, this ... Rapid Facial Expression Classification Using Artificial Neural Networks [10] 73.3% Facial Expression Classification Using Multi Artificial Neural Network [11] 83% Proposal Method...

Tài liệu Kalman Filtering and Neural Networks - Chapter 6: LEARNING NONLINEAR DYNAMICAL SYSTEMS USING THE EXPECTATION– MAXIMIZATION ALGORITHM doc

... f using (6.13) with the substitutionsx xk, u uk, and z xkþ1; (2) representing f using x ðxk; ukÞ,u ;, and z xkþ1; and (3) representing g using the substitutionsx xk, u uk, and ... characterized by175Kalman Filtering and Neural Networks, Edited by Simon HaykinISBN 0-471-36998-5 # 2001 John Wiley & Sons, Inc.Kalman Filtering and Neural Networks, Edited by Simon HaykinCopyright ... Niranjan, and A.H. Gee, ‘‘Nonlinear state spaceestimation with neural networks and the EM algorithm,’’ Technical Report,Cambridge University Engineering Department, 1999.[38] T. Briegel and V....

Estimation of Proper Strain Rate in the CRSC Test Using a Artificial Neural Networks

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Tài liệu Kalman Filtering and Neural Networks - Chapter 1: KALMAN FILTERS doc

... Kalman [1] for the1Kalman Filtering and Neural Networks, Edited by Simon HaykinISBN 0-471-36998-5 # 2001 John Wiley & Sons, Inc.Kalman Filtering and Neural Networks, Edited by Simon HaykinCopyright ... Wiley, 1986.[3] M.S. Grewal and A.P. Andrews, Kalman Filtering: Theory and Practice.Englewood Cliffs, NJ: Prentice-Hall, 1993.[4] H.L. Van Trees, Detection, Estimation, and Modulation Theory, Part ... ð1:16ÞHence, subtracting Eq. (1.14) from (1.13) and then using the deﬁnition ofEq. (1.15), we may writeE½ðxkÀ^xxkÞ~yyTk¼0: ð1:17Þ Using Eqs. (1.3) and (1.12), we may express the state-error...

Tài liệu Kalman Filtering and Neural Networks P2 doc

... representation of these ﬁve neural network applications and how they potentially interact with one another.We observe that the neural network controllers for engine idle speed and air=fuel (A=F) ratio ... representation of neural network applications forautomotive engine control and diagnosis. Solid boxes represent physicalcomponents of the engine system, double-lined solid boxes represent neural network ... EKF TRAINING61phenomenon, is particularly troublesome for training of recurrent neural networks and= or neural network controllers, where the temporal order ofpresentation of data during training...

Tài liệu Kalman Filtering and Neural Networks P3 doc

... cluttered with back-69Kalman Filtering and Neural Networks, Edited by Simon HaykinISBN 0-471-36998-5 # 2001 John Wiley & Sons, Inc.Kalman Filtering and Neural Networks, Edited by Simon HaykinCopyright ... types and connections’’,in M.A. Arbib, Ed., Handbook of Brain Theory and Neural Networks,Cambridge, MA: MIT Press, 1995.[3] J.M. Hupe´, A.C. James, B.R. Payne, S.G. Lomber, P. Girard and J. ... Rao and Ballard [10] have proposed analternative neural network implementation of the EKF that employs top-down feedback between layers, and have applied their model to both staticimages and...

Tài liệu Kalman Filtering and Neural Networks P4 doc

... deviation in83Kalman Filtering and Neural Networks, Edited by Simon HaykinISBN 0-471-36998-5 # 2001 John Wiley & Sons, Inc.Kalman Filtering and Neural Networks, Edited by Simon HaykinCopyright ... At this point, the network is operating on its ownwithout further inputs, and the task that is asked of the network is indeedchallenging. The autonomous behavior of the network, which begins ... used to train two distinct 6-6R-5R-1 networks using the ﬁrst 5000 samples in the same fashion as in the noise-free case.The right-hand plots of Figures 4.9a and 4.9b show the attractors of theautonomously...

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