[PDF] Top 20 ICA applied to image feature extraction

... transformación ICA encuentra direcciones independientes o un conjunto de características lo mayor decorrelacionado posible, es necesario hacer una selección de las características a usar en la construcción del ... See full document

... decided to evaluate the multibiometric solutions under realistic condi- tions due to it is more challenging than the evaluation under controlled conditions, which already presents very good accuracy ... See full document

... classification, applied to CDP detection. The method is based on an intuitive procedure. We first remove by convolution the noise from the CDPs recorded in each given spinal segment. Th[r] ... See full document

... sources to estimate the evolution of a given disease for the partic- ular case of a certain ...algorithms to supply valuable solutions to the problem of cancer subtype classification, which has ... See full document

... assigned to each pixel in the CT image and is the expression of the density of the irradiated ...-1000 to +1000, each constituting a different level of optical ...converted to HU following ... See full document

... reference to traffic sign recognition (TSR) systems, they are generally comprised of two parts: sign detection and sign ...the image to be processed on an alternate color space information such as ... See full document

... single image is a difficult problem, but it can be made easier if multiple images are ...single image blind deconvolution for blurred retinal images does not provide a suitable ...order to properly ... See full document

... the extraction of information beyond BMD without overfitting, as indicated by AICc’s, robR 2 and ...against image degradation is particularly important for in-vivo microstructural ...portant to ... See full document

... facial image can divided in two sets, depending on the zone of the ...some feature extraction process that yields a final feature set used to train the ...related to security ... See full document

... distance to mobile camera, being every acquisition carried out under natural ...order to ensure a proper feature extraction, independently on segmentation, acquisitions were taken on a defined ... See full document

... for image mining ...whose image features are extracted to represent concisely the image ...essential to consider in- variance problem to some geometric transformations and ... See full document

... developed to object identification in industrial applications, ...distance to the product, making the al- gorithms valid only under those ...tested to increase the degree of general- ization ... See full document

... was to analyze the performance of the FMs in subjects of different ...difficulty to properly distinguish the optimum position in a coarse or initial ... See full document

... Noise Feature Selection (NFS) optimization problem, we deal with the daily noise curve C, divided in an arbitrary daily rate DR (number of time blocks/samples/trapezoids per ...T to be a subset of the ... See full document

... favorable to split all these entities into distinct classes, what leads not only to easier understanding, but also allows reusing of all these components and building new neural networks architectures from ... See full document

... Interest points' detection and features to be tracked have been found based on two different approaches, Harris corner detection and SURF invariant feature extraction.. The approach ba[r] ... See full document

... is feature extraction, where different features are extracted from a signal in order to characterize it for the following ...the feature extraction from different types of signals, ... See full document

... Due to the great variability of musical audio, its non-verbal basis, and its interconnected levels of description, musical audio-mining is a very complex research domain that involves efforts from musicology, ... See full document

... us to differentiate their voice among ...inherent to the voice. The auditory human system is able to capture those features from the frequencies of the acoustic wave and send them to the brain ... See full document

... 50 to 3500 µV with a frequency of 100 ...corresponding to up and down movements could be seen in Figure ...need to be placed near the eyes in contact with the ...adequate to capture horizontal ... See full document