Structural, Syntactic, and Statistical Pattern Recognition Joint IAPR International Workshop, S+SSPR 2014, Joensuu, Finland, August 20-22, 2014, Proceedings / edited by Pasi Fränti, Gavin Brown, Marco Loog, Francisco Escolano, Marcello Pelillo.

This book constitutes the proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, S+SSPR 2014; comprising the International Workshop on Structural and Syntactic Pattern Recognition, SSPR, and the International Workshop on Statistical Techni...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Fränti, Pasi (Editor), Brown, Gavin (Editor), Loog, Marco (Editor), Escolano, Francisco (Editor), Pelillo, Marcello (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
Edition:1st ed. 2014.
Series:Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 8621
Springer eBook Collection.
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Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.

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505 0 |a Graph Kernels -- A Graph Kernel from the Depth-Based Representation -- Incorporating Molecule’s Stereoisomerism within the Machine Learning Framework -- Transitive State Alignment for the Quantum Jensen-Shannon Kernel -- Clustering -- Balanced K-Means for Clustering -- Poisoning Complete-Linkage Hierarchical Clustering -- A Comparison of Categorical Attribute Data Clustering Methods -- Graph Edit Distance -- Improving Approximate Graph Edit Distance Using Genetic Algorithms -- Approximate Graph Edit Distance Guided by Bipartite Matching of Bags of Walks -- A Hausdorff Heuristic for Efficient Computation of Graph Edit Distance -- Graph Models and Embedding -- Flip-Flop Sublinear Models for Graphs -- Node Centrality for Continuous-Time Quantum Walks -- Max-Correlation Embedding Computation -- Discriminant Analysis -- Fast Gradient Computation for Learning with Tensor Product Kernels and Sparse Training Labels -- Nonlinear Discriminant Analysis Based on Probability Estimation by Gaussian Mixture Model -- Combining and Selecting -- Information Theoretic Feature Selection in Multi-label Data through Composite Likelihood -- Majority Vote of Diverse Classifiers for Late Fusion -- Entropic Graph Embedding via Multivariate Degree Distributions -- On Parallel Lines in Noisy Forms -- Metrics and Dissimilarities -- Metric Learning in Dissimilarity Space for Improved Nearest Neighbor Performance -- Matching Similarity for Keyword-Based Clustering -- Applications -- Quantum vs Classical Ranking in Segment Grouping -- Remove Noise in Video with 3D Topological Maps -- Video Analysis of a Snooker Footage Based on a Kinematic Model -- Partial Supervision -- Evaluating Classification Performance with only Positive and Unlabeled Samples -- Who Is Missing? A New Pattern Recognition Puzzle -- Poster Session -- Edit Distance Computed by Fast Bipartite Graph Matching -- Statistical Method for Semantic Segmentation of Dominant Plane from Remote Exploration Image Sequence -- Analyses on Generalization Error of Ensemble Kernel Regressors -- Structural Human Shape Analysis for Modeling and Recognition -- On Cross-Validation for MLP Model Evaluation -- Weighted Mean Assignment of a Pair of Correspondences Using Optimisation Functions -- Chemical Symbol Feature Set for Handwritten Chemical Symbol Recognition -- About Combining Metric Learning and Prototype Generation -- Tracking System with Re-identification Using a RGB String Kernel -- Towards Scalable Prototype Selection by Genetic Algorithms with Fast Criteria -- IOWA Operators and Its Application to Image Retrieval -- On Optimum Thresholding of Multivariate Change Detectors -- Commute Time for a Gaussian Wave Packet on a Graph -- Properties of Object-Level Cross-Validation Schemes for Symmetric Pair-Input Data -- A Binary Factor Graph Model for Biclustering -- Improved BLSTM Neural Networks for Recognition of On-Line Bangla Complex Words -- A Ranking Part Model for Object Detection -- Regular Decomposition of Multivariate Time Series and Other Matrices -- Texture Synthesis: From Convolutional RBMs to Efficient Deterministic Algorithms -- Improved Object Matching Using Structural Relations -- Designing LDPC Codes for ECOC Classification Systems -- Unifying Probabilistic Linear Discriminant Analysis Variants in Biometric Authentication. 
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