Titlebook: Mathematical Methodologies in Pattern Recognition and Machine Learning; Contributions from t Pedro Latorre Carmona,J. Salvador Sánchez,Ana

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Conference proceedings 2013moura, Algarve, Portugal from February 6th-8th, 2012. The conference provided a major point of collaboration between researchers, engineers and practitioners in the areas of Pattern Recognition, both from theoretical and applied perspectives, with a focus on mathematical methodologies. Contributions

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Stochastic Subgradient Estimation Training for Support Vector Machines,a reduced primal formulation using an algorithm based on robust stochastic approximation, which does not require strong convexity. Experiments illustrate that our approaches produce solutions of comparable prediction accuracy with the solutions acquired from existing SVM solvers, but often in much shorter time.

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Single-Frame Signal Recovery Using a Similarity-Prior,d on the Pearson type VII Markov Random Field model. Results on both synthetic and real data of MRI images demonstrate the effectiveness of our method in both compressed setting and classical super-resolution experiments.

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Segmenting Carotid in CT Using Geometric Potential Field Deformable Model,obal representation of the geometric configuration. The deformable model uses a regional constraint to suppress calcified regions for accurate segmentation of the vessel geometries. The proposed framework shows high accuracy when applied to the segmentation of the carotid arteries from CT images.

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Facial Expression Recognition Using Diffeomorphic Image Registration Framework, stationary velocity fields can be successfully utilised in facial expression recognition, and this parameterisation produces a higher recognition rate than the facial expression representation based on deformation fields.

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Martin Emms,Hector-Hugo Franco-Penyafunction involves the participation of many different neurotransmitter systems in a variety of brain areas. The centerpiece of investigation regarding cognitive function has classically been the cholinergic system, but it has become increasingly clear that other transmitter systems interact with cho

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Juan Mendez,Javier Lorenzofunction involves the participation of many different neurotransmitter systems in a variety of brain areas. The centerpiece of investigation regarding cognitive function has classically been the cholinergic system, but it has become increasingly clear that other transmitter systems interact with cho

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