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Mathematical Methodologies In Pattern Recognition And Machine Learning Contributions From The International Conference On Pattern Recognition Applications And Methods 2012 Pedro Latorre Carmona J Salvador Sanchez Ana Fred Eds

  • SKU: BELL-4158220
Mathematical Methodologies In Pattern Recognition And Machine Learning Contributions From The International Conference On Pattern Recognition Applications And Methods 2012 Pedro Latorre Carmona J Salvador Sanchez Ana Fred Eds
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Mathematical Methodologies In Pattern Recognition And Machine Learning Contributions From The International Conference On Pattern Recognition Applications And Methods 2012 Pedro Latorre Carmona J Salvador Sanchez Ana Fred Eds instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 2.6 MB
Pages: 200
Author: Pedro Latorre Carmona; J Salvador Sánchez; Ana Fred (eds.)
ISBN: 9781461450757, 9781461450764, 1461450756, 1461450764
Language: English
Year: 2013

Product desciption

Mathematical Methodologies In Pattern Recognition And Machine Learning Contributions From The International Conference On Pattern Recognition Applications And Methods 2012 Pedro Latorre Carmona J Salvador Sanchez Ana Fred Eds by Pedro Latorre Carmona; J Salvador Sánchez; Ana Fred (eds.) 9781461450757, 9781461450764, 1461450756, 1461450764 instant download after payment.

On order equivalences between distance and similarity measures on sequences and trees.- Scalable Corpus Annotation by Graph Construction and Label Propagation.- Computing the reeb graph for triangle meshes with active contours.- Efficient Computation of Voronoi Neighbors based on Polytope search in Pattern Recognition.- Estimation of the common oscillation for Phase Locked Matrix Factorization.- ASSET: Approximate Stochastic Subgradient Estimation Training for Support Vector Machines.- Pitch-sensitive Components emerge from Hierarchical Sparse Coding of Natural Sounds.- Generative Embeddings based on Rican Mixtures: Application to KernelBased Discriminative Classification of Magnetic Resonance Images.-Single-Frame Signal Recovery Using a Similarity-Prior Based on Pearson Type VII MRF.- Tracking solutions of time varying linear inverse problems.- Stacked Conditional Random Fields Exploiting Structural Consistencies.- Segmentation of Vessel Geometries from Medical Images using GPF Deformable Model.- Robust Deformable Model for Segmenting the Left Ventricle in 3D volumes of Ultrasound Data.- Algorithm to maintain linear element in 3D Level Set Topology Optimization.- Facial Expression recognition using Log-Euclidean statistical shape models

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