Coverart for item
The Resource Pattern recognition applications and methods : International Conference, ICPRAM 2013, Barcelona, Spain, February 15-18, 2013, Revised selected papers, Ana Fred, Maria De Marsico, editors, (electronic book)

Pattern recognition applications and methods : International Conference, ICPRAM 2013, Barcelona, Spain, February 15-18, 2013, Revised selected papers, Ana Fred, Maria De Marsico, editors, (electronic book)

Label
Pattern recognition applications and methods : International Conference, ICPRAM 2013, Barcelona, Spain, February 15-18, 2013, Revised selected papers
Title
Pattern recognition applications and methods
Title remainder
International Conference, ICPRAM 2013, Barcelona, Spain, February 15-18, 2013, Revised selected papers
Statement of responsibility
Ana Fred, Maria De Marsico, editors
Title variation
ICPRAM 2013
Creator
Contributor
Editor
Subject
Genre
Language
eng
Summary
This book contains the extended and revised versions of a set of selected papers from the 2nd International Conference on Pattern Recognition (ICPRAM 2013), held in Barcelona, Spain, from 15 to 18 February, 2013. ICPRAM was organized by the Institute for Systems and Technologies of Information, Control and Communication (INSTICC) and was held in cooperation with the Association for the Advancement of Artificial Intelligence (AAAI). The hallmark of this conference was to encourage theory and practice to meet in a single venue. The focus of the book is on contributions describing applications of Pattern Recognition techniques to real-world problems, interdisciplinary research, experimental and/or theoretical studies yielding new insights that advance Pattern Recognition methods
Member of
Cataloging source
N$T
Dewey number
006.4
Illustrations
illustrations
Index
index present
LC call number
Q327
LC item number
.I58 2015eb
Literary form
non fiction
http://bibfra.me/vocab/lite/meetingDate
2013
http://bibfra.me/vocab/lite/meetingName
International Conference on Pattern Recognition
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • Fred, Ana
  • De Marsico, Maria
Series statement
Advances in Intelligent Systems and Computing,
Series volume
volume 318
http://library.link/vocab/subjectName
  • Pattern perception
  • Pattern recognition systems
Label
Pattern recognition applications and methods : International Conference, ICPRAM 2013, Barcelona, Spain, February 15-18, 2013, Revised selected papers, Ana Fred, Maria De Marsico, editors, (electronic book)
Instantiates
Publication
Copyright
Note
Includes author index
Antecedent source
unknown
Bibliography note
References
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Preface; Organization; Contents; Part I Theory and Methods; A Two-Part Approach to Face Recognition: Generalized Hough Transform and Image Descriptors; 1 Introduction; 2 Method; 2.1 Modified GHT; 2.2 Gradient Distance Descriptor; 3 Results and Discussion; 4 Conclusions; References; Improved Boosting Performance by Explicit Handling of Ambiguous Positive Examples; 1 Introduction; 1.1 Relation to Bootstrapping Methods; 1.2 Contributions; 2 Relation to Previous Work; 3 Boosting Theory; 3.1 Convex-Loss Boosting Algorithms; 3.2 Robust Boosting Algorithms; 4 A Two-Pass Exclusion Extension
  • 4.1 Inverted Cascade5 Experiments; 6 Results; 6.1 Comparison of Boosting Algorithms; 6.2 Bootstrapping Methods in Relation to Outlier Exclusion; 7 Discussion and Future Work; 8 Conclusions; References; Discriminative Dimensionality Reduction for the Visualization of Classifiers; 1 Introduction; 2 Supervised Visualization Based on the Fisher Information; 2.1 Computation of the Class Probabilities; 2.2 Approximation of Minimum Path Integrals; 3 Training a Discriminative Visualization Mapping; 4 Visualization of Classifiers; 5 Conclusions; References
  • Online Unsupervised Neural-Gas Learning Method for Infinite Data Streams1 Introduction; 2 Related Work; 3 Proposed Algorithm (AING); 3.1 General Behaviour; 3.2 AING Distance Threshold; 3.3 AING Merging Process; 4 Experimental Evaluation; 4.1 Experiments on Synthetic Data; 4.2 Experiments on Real Datasets; 5 Conclusions and Future Work; References; The Path Kernel: A Novel Kernel for Sequential Data; 1 Introduction; 2 Kernels and Sequences; 2.1 Sequence Similarity Measures; 3 The Path Kernel; 3.1 Efficient Computation; 3.2 Ground Kernel Choice; 4 Experiments; 5 Conclusions; References
  • A MAP Approach to Evidence Accumulation Clustering1 Introduction; 2 Probabilistic Model; 3 Optimization Algorithm; 3.1 Computation of a Search Direction; 3.2 Computation of an Optimal Step Size; 3.3 Complexity; 4 Related Work; 5 Experiments and Results; 5.1 UCI and Synthetic Data; 5.2 Text Data; 6 Conclusions; References; Feature Discretization with Relevance and Mutual Information Criteria; 1 Introduction; 1.1 Our Contribution; 2 Background; 2.1 Entropy and Mutual Information; 2.2 Feature Discretization; 2.3 Unsupervised Discretization; 2.4 Supervised Discretization; 3 Proposed Methods
  • 3.1 Relevance-Based LBG3.2 Mutual Information Discretization; 4 Experimental Evaluation; 4.1 Comparison Between Our Approaches; 4.2 Comparison with Existing Methods; 5 Conclusions; References; Multiclass Semi-supervised Learning on Graphs Using Ginzburg-Landau Functional Minimization; 1 Introduction; 2 Data Segmentation with the Ginzburg-Landau Model; 2.1 Application of Diffuse Interface Models to Graphs; 3 Multiclass Extension; 3.1 Generalized Difference Function; 3.2 Computational Algorithm; 4 Results; 4.1 Synthetic Data; 4.2 Image Segmentation; 4.3 Benchmark Sets; 5 Conclusions
Control code
SPR896825016
Dimensions
unknown
Extent
1 online resource (xv, 312 pages)
File format
unknown
Form of item
online
Isbn
9783319126104
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-319-12610-4
Other physical details
illustrations (some color).
Quality assurance targets
not applicable
Reformatting quality
unknown
Reproduction note
Electronic resource.
Sound
unknown sound
Specific material designation
remote
Label
Pattern recognition applications and methods : International Conference, ICPRAM 2013, Barcelona, Spain, February 15-18, 2013, Revised selected papers, Ana Fred, Maria De Marsico, editors, (electronic book)
Publication
Copyright
Note
Includes author index
Antecedent source
unknown
Bibliography note
References
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Preface; Organization; Contents; Part I Theory and Methods; A Two-Part Approach to Face Recognition: Generalized Hough Transform and Image Descriptors; 1 Introduction; 2 Method; 2.1 Modified GHT; 2.2 Gradient Distance Descriptor; 3 Results and Discussion; 4 Conclusions; References; Improved Boosting Performance by Explicit Handling of Ambiguous Positive Examples; 1 Introduction; 1.1 Relation to Bootstrapping Methods; 1.2 Contributions; 2 Relation to Previous Work; 3 Boosting Theory; 3.1 Convex-Loss Boosting Algorithms; 3.2 Robust Boosting Algorithms; 4 A Two-Pass Exclusion Extension
  • 4.1 Inverted Cascade5 Experiments; 6 Results; 6.1 Comparison of Boosting Algorithms; 6.2 Bootstrapping Methods in Relation to Outlier Exclusion; 7 Discussion and Future Work; 8 Conclusions; References; Discriminative Dimensionality Reduction for the Visualization of Classifiers; 1 Introduction; 2 Supervised Visualization Based on the Fisher Information; 2.1 Computation of the Class Probabilities; 2.2 Approximation of Minimum Path Integrals; 3 Training a Discriminative Visualization Mapping; 4 Visualization of Classifiers; 5 Conclusions; References
  • Online Unsupervised Neural-Gas Learning Method for Infinite Data Streams1 Introduction; 2 Related Work; 3 Proposed Algorithm (AING); 3.1 General Behaviour; 3.2 AING Distance Threshold; 3.3 AING Merging Process; 4 Experimental Evaluation; 4.1 Experiments on Synthetic Data; 4.2 Experiments on Real Datasets; 5 Conclusions and Future Work; References; The Path Kernel: A Novel Kernel for Sequential Data; 1 Introduction; 2 Kernels and Sequences; 2.1 Sequence Similarity Measures; 3 The Path Kernel; 3.1 Efficient Computation; 3.2 Ground Kernel Choice; 4 Experiments; 5 Conclusions; References
  • A MAP Approach to Evidence Accumulation Clustering1 Introduction; 2 Probabilistic Model; 3 Optimization Algorithm; 3.1 Computation of a Search Direction; 3.2 Computation of an Optimal Step Size; 3.3 Complexity; 4 Related Work; 5 Experiments and Results; 5.1 UCI and Synthetic Data; 5.2 Text Data; 6 Conclusions; References; Feature Discretization with Relevance and Mutual Information Criteria; 1 Introduction; 1.1 Our Contribution; 2 Background; 2.1 Entropy and Mutual Information; 2.2 Feature Discretization; 2.3 Unsupervised Discretization; 2.4 Supervised Discretization; 3 Proposed Methods
  • 3.1 Relevance-Based LBG3.2 Mutual Information Discretization; 4 Experimental Evaluation; 4.1 Comparison Between Our Approaches; 4.2 Comparison with Existing Methods; 5 Conclusions; References; Multiclass Semi-supervised Learning on Graphs Using Ginzburg-Landau Functional Minimization; 1 Introduction; 2 Data Segmentation with the Ginzburg-Landau Model; 2.1 Application of Diffuse Interface Models to Graphs; 3 Multiclass Extension; 3.1 Generalized Difference Function; 3.2 Computational Algorithm; 4 Results; 4.1 Synthetic Data; 4.2 Image Segmentation; 4.3 Benchmark Sets; 5 Conclusions
Control code
SPR896825016
Dimensions
unknown
Extent
1 online resource (xv, 312 pages)
File format
unknown
Form of item
online
Isbn
9783319126104
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-319-12610-4
Other physical details
illustrations (some color).
Quality assurance targets
not applicable
Reformatting quality
unknown
Reproduction note
Electronic resource.
Sound
unknown sound
Specific material designation
remote

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