Mathematical Methodologies in Pattern Recognition and Machine Learning Contributions from the International Conference on Pattern Recognition Applications and Methods, 2012 /
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...
Corporate Author: | |
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Other Authors: | , , |
Format: | Electronic |
Language: | English |
Published: |
New York, NY :
Springer New York : Imprint: Springer,
2013.
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Series: | Springer Proceedings in Mathematics & Statistics,
30 |
Subjects: | |
Online Access: | https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4614-5076-4 |
Table of Contents:
- 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.