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Feature extraction and recognition of epileptiform ...
Pockett S, Whalen S, McPhail A, Freeman W. Topography, independent component analysis and dipole source analysis of movement related potentials. Cogn Neurodyn. 2007; 1:327–340. doi: 10.1007/s11571-007-9024-y. [PMC free article]
 Action recognition based on overcomplete independent ...
Independent component analysis (ICA) [5,19], a specific case of sparse coding when constraining the number of basis functions to equal the feature dimension, also shows similar response properties with simple cells in visual cortex and achieves success in face recognition [2] and action recognition [29].
Learning Modewise Independent Components from Tensor Data ...
Independent component analysis (ICA) is a popular unsupervised learning method. This paper extends it to multilinear modewise ICA (MMICA) for tensors and explores two architectures in learning and recognition. MMICA models tensor data as mixtures generated from modewise source matrices that encode statistically independent information....
Independent Component Analysis based on multiple data ...
Independent Component Analysis based on multiple data-weighting. 05/31/2019 ∙ by Andrzej Bedychaj, et al. ∙ 0 ∙ share . Independent Component Analysis (ICA) - one of the basic tools in data analysis - aims to find a coordinate system in which the components of the data are independent....
3D Reconstruction and Face Recognition Using Kernel-Based ...
Keywords: Independent component analysis, 3D human face reconstruction, 3D human face recognition, back-propagation algorithm, neural networks. 1. Introduction When we use a camera to capture 3D objects, we lose the depth information of the 3D objects and only obtain the 2D image information. However, the depth information of the 3D objects ......
Discriminating between ADHD adults and controls using ...
A further method of approaching the functional meaning of specific ERP components is provided by independent component analysis (ICA). By means of ICA, a set of mixed potentials measured at the scalp is separated into a corresponding set of statistically independent source signals [ 21 , 22 ].
Multilinear (Tensor) ICA and Dimensionality Reduction ...
Abstract. Multiple factors related to scene structure, illumination, and imaging contribute to image formation. Independent Components Analysis (ICA) maximizes the statistical independence of the representational components of a training image ensemble, but it cannot distinguish between these different factors, or modes.
LH - Tutorials | The Center for Brains, Minds & Machines
The annual Brains, Minds and Machines Summer Course includes many tutorials on key computational and empirical methods used in research on intelligence. Lecture videos and slides are provided for each tutorial, and some also include resources to support hands-on computer activities. The summer course is aimed at graduate students and postdocs, but many of the tutorials are accessible to ...
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