Mathematical Methodologies in Pattern Recognition and Machine Learning Contributions from the International Conference on Pattern Recognition Applications and Methods, 2012 /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Latorre Carmona, Pedro (Επιμελητής έκδοσης), Sánchez, J. Salvador (Επιμελητής έκδοσης), Fred, Ana L.N (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: New York, NY : Springer New York : Imprint: Springer, 2013.
• Σειρά: Springer Proceedings in Mathematics & Statistics, 30
• Θέματα: Mathematics.; Computer science > Mathematics.; Pattern recognition.; System theory.; Mathematical optimization.; Systems Theory, Control.; Optimization.; Math Applications in Computer Science.; Pattern Recognition.

This volume features key contributions from the International Conference on Pattern Recognition Applications and Methods, (ICPRAM 2012,) held in Vilamoura, Algarve, Portugal from February 6th-8th, 2012. The conference provided a major point of collaboration between researchers, engineers and practit...

Πίνακας περιεχομένων:

• 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.