[PDF] Top 20 Propiedades Del Concreto Fresco y Endurecido Editado
Has 9656 "Propiedades Del Concreto Fresco y Endurecido Editado" found on our website. Below are the top 20 most common "Propiedades Del Concreto Fresco y Endurecido Editado".
Noise reduction of diffusion tensor images by sparse representation and dictionary learning
... of diffusion tensor makes it difficult for intuitive visu- ...of images are visualized for evaluation. The diffusion tensors were calculated using the least square method and the FA and ... See full document
135
Image Inpainting Based on Sparse Representation with Histogram Dictionary
... of diffusion [1] to inpaint the structure layer, and used the technique [8] to process the texture ...reconstructed images are added back together to obtain the inapitning ...structure tensor, and ... See full document
14
Medical Image Segmentation of Improved Genetic Algorithm Research Based on Dictionary Learning
... complete dictionary and is described as sparse linear combinations of these ...the dictionary algorithm for image signal tracking and decomposition is mainly adopted as the focus of ...of ... See full document
270
Auditory Sparse Representation for Robust Speaker Recognition Based on Tensor Structure
... and tensor structure. A novel tensor analysis approach called NTPCA is derived by maximizing the covariance of data samples on tensor ...supervised learning procedure via NTPCA finds the ... See full document
35
Supervised classification via constrained subspace and tensor sparse representation
... 4) Evaluations with increasing feature dimension: In the experiments in this section, the training samples are fixed but feature dimension is changed. The experiment is on the PCA feature vectors extracted from the ORL ... See full document
14
Single and multiple object tracking using a multi feature joint sparse representation
... subspace learning-based appearance models is usually based on the sum of squared ...image noise and partial occlusion. Nonlinear manifold learning methods usually construct appearance models which ... See full document
13
Title: Image Resolution Technique
... In sparse image patches can be well represented as a combination of few atoms of an appropriately chosen over-complete ...The sparse representation for each patch of the LR input is used similar to ... See full document
14
A Fast Dictionary Learning Algorithm for Image Denoising
... that sparse coding, keeping the fixed learned dictionary D , tries to find a sparse coefficient matrix X by solving ...to sparse coding fail to consider the geometrical structure of the data ... See full document
12
Layer-based sparse representation of multiview images
... multiview images can be para- meterised using a single 7D function called the plenop- tic function ...more sparse representation can be obtained than the independent analysis of each ...multiview ... See full document
39
Clustering K SVD for sparse representation of images
... used dictionary learning (DL) algorithm that iteratively works between sparse coding and dictionary ...The sparse coding process generates sparse coefficients for each training ... See full document
148
NON-LINEAR THRESHOLDING DIFFUSION METHOD FOR SPECKLE NOISE REDUCTION IN ULTRASOUND IMAGES
... Speckle noise is a type of acoustic phenomenon responsible for the granular appearance of ultrasound images caused by the constructive and destructive interference of echoes produced by scattering of ... See full document
21
Noise reduction in digital images
... additive noise was observed in the chrominance (a* and b*) ...exhibited noise clusters; these clusters were larger and more frequent in the b* ...The noise in the b* channel was so severe that the ... See full document
60
Deblocking Joint Photographic Experts Group Compressed Images via Self-learning Sparse Representation
... where is the image size in bits, and represent the image width and height respectively. Figures 4-6 illustrate three instance results of the proposed method in comparison with JPEG and the three well-known image ... See full document
159
Noise reduction and targeted exploration in imitation learning for Abstract Meaning Representation parsing
... meaning representation (AMR) is a recent example of one such semantic formalism which, similar to a de- pendency parse, utilizes a graph to repre- sent relationships between concepts (Ba- narescu et ...Imitation ... See full document
32
Soft Representation Learning for Sparse Transfer
... Transfer learning in neural networks has been ap- plied in recent years to improving the performance of related tasks, for example, 1) multi-task learn- ing (MTL) with different tasks (labeled data avail- able all ... See full document
120
Image recovery from noisy random projection using dictionary learning technique
... The noise added to the data during the transmission can be of any ...The noise can be taken as random noise which is being entered through the ...random noise is removed from the projected ... See full document
20
K SVD: Dictionary Developing Algorithms for Sparse Representation of Signal
... In discrete cosine transform implement the non –decimated haar and unitary DCT. By using this dictionary images are enhanced and compressed .Generally this dictionary are commonly used to need ... See full document
64
Kernel Collaborative Representation Classification Based on Adaptive Dictionary Learning
... on sparse representation has made a great breakthrough in face ...face images are often affected by different poses, lighting, and expression changes, so test samples are often difficult to represent ... See full document
8
Sparse machine learning models in bioinformatics
... objective measure for comparing the transformation-based spectral clusters with the yeast phases was computed by taking the average classification accuracy, as the number of genes that clustering algorithm correctly ... See full document
332
Combined Dictionary Learning in Facial Expression Recognition
... same dictionary size and sparsity constraint with Single Dictionary Scheme, the dictionaries need to be learned can have C times smaller size and sparsity ...Combined Dictionary Scheme will dra- ... See full document
110
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