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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

Mathematical Methodologies in Pattern Recognition and Machine Learning

Contributions from the International Conference on Pattern Recognition Applications and Methods, 2012

By: Pedro Latorre Carmona (Editor), J. Salvador Sánchez (Editor), Ana L.N. Fred (Editor)

Hardcover | 10 November 2012

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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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