IWANN 2005 - PDF Preprint Papers

IWANN 2005 International Workshop/Work-Conference on Artificial and Natural Neural Networks

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IWANN
2005
Springer

251views Neural Networks» more IWANN 2005»

Face Recognition System Based on PCA and Feedforward Neural Networks

13 years 9 months ago

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Face recognition is one of the most important image processing research topics which is widely used in personal identification, verification and security applications. In this pape...

Alaa Eleyan, Hasan Demirel

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Id	Views	Title	Status

1	251	Face Recognition System Based on PCA and Feedforward Neural Networks	claim
2	244	Adaptive Power System Stabilizer Using ANFIS and Genetic Algorithms	claim
3	219	An Asynchronous 4-to-4 AER Mapper	claim
4	211	Robust Blind Image Watermarking with Independent Component Analysis: A Embedding Algorithm	claim
5	172	Characterizing Self-developing Biological Neural Networks: A First Step Towards Their Application to Computing Systems	claim
6	172	Load Forecasting Using Fixed-Size Least Squares Support Vector Machines	claim
7	171	Input Selection for Long-Term Prediction of Time Series	claim
8	169	Co-evolutionary Learning in Liquid Architectures	claim
9	167	Vision-Based Walking Parameter Estimation for Biped Locomotion Imitation	claim
10	150	Manifold Constrained Finite Gaussian Mixtures	claim
11	147	A Comparison of Evolutionary Approaches to the Shortest Common Supersequence Problem	claim
12	143	Cascade Ensembles	claim
13	140	Direct and Recursive Prediction of Time Series Using Mutual Information Selection	claim
14	139	Modeling Neural Processes in Lindenmayer Systems	claim
15	128	Real-Time Spiking Neural Network: An Adaptive Cerebellar Model	claim
16	127	Block LDA for Face Recognition	claim
17	122	Balanced Boosting with Parallel Perceptrons	claim
18	121	A Competitive-Based Method for Determining the Number of Groups: A Clinical Application	claim
19	119	Bias and Variance of Rotation-Based Ensembles	claim
20	114	An Approach to Reduce the Cost of Evaluation in Evolutionary Learning	claim
21	108	CMOL CrossNets as Pattern Classifiers	claim
22	102	Improving Clustering Technique for Functional Approximation Problem Using Fuzzy Logic: ICFA Algorithm	claim
23	102	Joint Kernel Maps	claim
24	101	Role of Function Complexity and Network Size in the Generalization Ability of Feedforward Networks	claim
25	98	Ultra Low-Power Neural Inspired Addition: When Serial Might Outperform Parallel Architectures	claim
26	98	Input and Structure Selection for k-NN Approximator	claim
27	94	Highly Modular Architecture for the General Control of Autonomous Robots	claim
28	92	Instability of Attractors in Auto-associative Networks with Bio-inspired Fast Synaptic Noise	claim
29	91	Filtering-Free Blind Separation of Correlated Images	claim
30	90	Voice Activity Detection Using Higher Order Statistics	claim
31	89	Memetic Algorithms to Product-Unit Neural Networks for Regression	claim
32	88	Heuristic Search over a Ranking for Feature Selection	claim

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