|
Web
Education
Independent Component Analysis edited by Stephen Roberts
Independent Component Analysis (ICA) has recently become an important tool for modelling and understanding empirical datasets. It is a method of separating out independent sources from linearly mixed data, and belongs to the class of general linear models.
RFID and Face Recognition Based Security and Access ...
m) Jun-Ying Gan, Si-Bin He on Proceedings of the Eighth International Conference on Machine Learning and Cybernetics, proposed an improved 2DPCA algorithm for face recognition. on the basis of two-dimensional principal component analysis, an improved two-dimensional principal component analysis (I2DPCA) is presented for face recognition....
Face Recognition Using Independent Component Analysis and ...
Déniz⋆⋆ O., Castrillón M., Hernández M. (2001) Face Recognition Using Independent Component Analysis and Support Vector Machines ⋆. In: Bigun J., Smeraldi F. (eds) Audio- and Video-Based Biometric Person Authentication. AVBPA 2001. Lecture Notes in Computer Science, vol 2091. Springer, Berlin, Heidelberg. First Online 17 August 2001...
Research - M. Alex O. Vasilescu
In the context of facial image ensembles, we demonstrate that the statistical regularities learned by MICA capture information that improves automatic face recognition. "Multilinear (Tensor) ICA and Dimensionality Reduction", M.A.O. Vasilescu, D. Terzopoulos, Proc. 7th International Conference on Independent Component Analysis and Signal ......
CiteSeerX — Citation Query Independent component analysis ...
New and emerging applications, such as data mining, web searching, retrieval of multimedia data, face recognition, and cursive handwriting recognition, require robust and efficient pattern recognition techniques. ... Independent component analysis (ICA) is a statistical method for transforming an observed multidimensional random vector into ......
 Face Recognition Using Incremental Principal Component ...
Keywords— IPCA-ICA, Principal component analysis (PCA), independent component analysis (ICA), principal non-Gaussian directions, image processing, blind source separation. I. INTRODUCTION A large number of face recognition techniques use face representations found by unsupervised statistical methods....
3D reconstruction and face recognition using kernel-based ...
Research highlights We propose an improved kernel-independent component analysis method to reconstruct 3D human faces. A three-layer feed-forward neural network trained by a back-propagation algorithm is used to realize a classifier. The experimental results demonstrate that the proposed method is efficient in reconstruction and face recognition applications....
An Introduction to Independent Components Analysis (ICA)
Independent Component Analysis. 2001 • Stone, James. Independent Component Analysis: A Tutorial IdiIntroduction. 2004 • Bishop, Christopher. Pattern Recognition and Machine Learning. 2007 • Shawe‐Taylor, J and N Cristianini. Kernel Methods for Pattern Analysis. 2004...
Applying Artificial Neural Networks for Face Recognition
Face detection segments the face areas from the background.In the case of video, the detected faces may need to be tracked using a face tracking component.Face alignment aims at achieving more accurate localization and at normalizing faces thereby, whereas face detection provides coarse estimates of the location and scale of each detected face.. Facial components, such as eyes, nose, and mouth ......
ICA for dummies – Arnaud Delorme
Independent Component Analysis for dummies Introduction. Independent Component Analysis is a signal processing method to separate independent sources linearly mixed in several sensors. For instance, when recording electroencephalograms (EEG) on the scalp, ICA can separate out artifacts embedded in the data (since they are usually independent of ......
|
