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Mathematical Methodologies in Pattern Recognition and Machine Learning Contributions from the International Conference on Pattern Recognition Applications and Methods, 2012  Cover Image E-book E-book

Mathematical Methodologies in Pattern Recognition and Machine Learning [electronic resource] : Contributions from the International Conference on Pattern Recognition Applications and Methods, 2012 / edited by Pedro Latorre Carmona, J. Salvador Sánchez, Ana L.N. Fred.

Record details

  • ISBN: 9781461450764
  • Physical Description: VIII, 194 p. 58 illus., 40 illus. in color. online resource.
  • Publisher: New York, NY : Springer New York : 2013.
Subject: Mathematics.
Computer science.
Optical pattern recognition.
Systems theory.
Mathematical optimization.
Mathematics.
Systems Theory, Control.
Optimization.
Math Applications in Computer Science.
Pattern Recognition.

Electronic resources


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Estimation of the common oscillation for Phase Locked Matrix Factorization
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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
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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.​.

Additional Resources