12. SSPR / 7. SPR 2008: Orlando, FL, USA

Invited Talks (Abstracts)

• Tin Kam Ho:
  Data Complexity Analysis: Linkage between Context and Solution in Classification. 1
  
• Horst Bunke, Kaspar Riesen:
  Graph Classification on Dissimilarity Space Embedding. 2
  
• Pedro Domingos, Stanley Kok, Daniel Lowd, Hoifung Poon, Matthew Richardson, Parag Singla, Marc Sumner, Jue Wang:
  Markov Logic: A Unifying Language for Structural and Statistical Pattern Recognition. 3
  
• Ludmila I. Kuncheva, Indre Zliobaite:
  Linear Discriminant Classifier (LDC) for Streaming Data with Concept Drift. 4
  

SSPR

Graph-Based Methods (Special Session)

• David Emms, Richard C. Wilson, Edwin R. Hancock:
  Graph Edit Distance without Correspondence from Continuous-Time Quantum Walks. 5-14
  
• Miquel Ferrer, Ernest Valveny, Francesc Serratosa, Horst Bunke:
  Exact Median Graph Computation Via Graph Embedding. 15-24
  
• Dongjoe Shin, Tardi Tjahjadi:
  Similarity Invariant Delaunay Graph Matching. 25-34
  
• Wan-Jui Lee, Robert P. W. Duin:
  An Inexact Graph Comparison Approach in Joint Eigenspace. 35-44
  
• Nicolas Sidere, Pierre Héroux, Jean-Yves Ramel:
  A Vectorial Representation for the Indexation of Structural Informations. 45-54
  

Probabilistic and Stochastic Structural Models for PR

• Carlos Pérez-Sancho, David Rizo, José Manuel Iñesta Quereda:
  Stochastic Text Models for Music Categorization. 55-64
  
• Franck Thollard, Baptiste Jeudy:
  Efficient Pruning of Probabilistic Automata. 65-75
  
• Arnaud Zdziobeck, Franck Thollard:
  Position Models and Language Modeling. 76-85
  
• Amaury Habrard, José Manuel Iñesta Quereda, David Rizo, Marc Sebban:
  Melody Recognition with Learned Edit Distances. 86-96
  
• Daniel Heesch, Robby T. Tan, Maria Petrou:
  Context First. 97-106
  

Image and Video Analysis

• Yunqian Ma, Petr Císar:
  Activity Representation in Crowd. 107-116
  
• Shengping Xia, Edwin R. Hancock:
  3D Object Recognition Using Hyper-Graphs and Ranked Local Invariant Features. 117-126
  
• Al Shorin, Georgy L. Gimel'farb, Patrice Delmas, John Morris:
  Image Matching with Spatially Variant Contrast and Offset: A Quadratic Programming Approach. 127-136
  
• Giovanni Maria Farinella, Sebastiano Battiato, Giovanni Gallo, Roberto Cipolla:
  Natural Versus Artificial Scene Classification by Ordering Discrete Fourier Power Spectra. 137-146
  
• Nicholas Shorter, Takis Kasparis:
  Fuzzy ART for Relatively Fast Unsupervised Image Color Quantization. 147-156
  

Shape Analysis

• James C. A. Sharpe, Edwin R. Hancock:
  Recognising Facial Expressions Using Spherical Harmonics. 157-166
  
• Reinier H. van Leuken, Olga Symonova, Remco C. Veltkamp, Raffaele de Amicis:
  Complex Fiedler Vectors for Shape Retrieval. 167-176
  
• Boris Flach, Dmitrij Schlesinger:
  Combining Shape Priors and MRF-Segmentation. 177-186
  
• H. Quynh Dinh, Liefei Xu:
  Measuring the Similarity of Vector Fields Using Global Distributions. 187-196
  
• Andrea Albarelli, Marcello Pelillo, Sebastiano Viviani:
  Consensus Graphs for Symmetry Plane Estimation. 197-206
  

Kernel Methods

• Hewayda ElGhawalby, Edwin R. Hancock:
  Graph Characteristic from the Gauss-Bonnet Theorem. 207-216
  
• Bai Xiao, Richard C. Wilson, Edwin R. Hancock:
  Quantitative Evaluation on Heat Kernel Permutation Invariants. 217-226
  
• François-Xavier Dupé, Luc Brun:
  Hierarchical Bag of Paths for Kernel Based Shape Classification. 227-236
  
• Francisco Escolano, Edwin R. Hancock, Miguel Angel Lozano:
  Polytopal Graph Complexity, Matrix Permanents, and Embedding. 237-246
  
• Heeyoul Choi, Brandon Paulson, Tracy Hammond:
  Gesture Recognition Based on Manifold Learning. 247-256
  

Pattern Recognition and Applications (Jointly with SPR)

• Peng Ren, Richard C. Wilson, Edwin R. Hancock:
  Graph Characteristics from the Ihara Zeta Function. 257-266
  
• Indriyati Atmosukarto, Linda G. Shapiro:
  A Learning Approach to 3D Object Representation for Classification. 267-276
  
• Huanzhang Fu, Alain Pujol, Emmanuel Dellandréa, Liming Chen:
  Region Based Visual Object Categorization Using Segment Features and Polynomial Modeling. 277-286
  

SSPR Poster Papers

Graph-Based Methods

• Kaspar Riesen, Horst Bunke:
  IAM Graph Database Repository for Graph Based Pattern Recognition and Machine Learning. 287-297
  
• Gerard Sanromà, Francesc Serratosa, René Alquézar:
  Hybrid Genetic Algorithm and Procrustes Analysis for Enhancing the Matching of Graphs Generated from Shapes. 298-307
  
• Peng Ren, Richard C. Wilson, Edwin R. Hancock:
  Spectral Embedding of Feature Hypergraphs. 308-317
  
• Shengping Xia, Edwin R. Hancock:
  Clustering Using Class Specific Hyper Graphs. 318-328
  
• Bai Xiao, Yi-Zhe Song, Anupriya Balika, Peter M. Hall:
  Structure Is a Visual Class Invariant. 329-338
  

Recognition and Classification

• Tomoyuki Shibata, Osamu Yamaguchi:
  Local Fisher Discriminant Component Hashing for Fast Nearest Neighbor Classification. 339-349
  
• Guillaume Née, Stéphanie Jehan-Besson, Luc Brun, Marinette Revenu:
  Significance Tests and Statistical Inequalities for Region Matching. 350-360
  
• Helena Molina-Abril, Pedro Real:
  Advanced Homology Computation of Digital Volumes Via Cell Complexes. 361-371
  
• Simon Fothergill, Robert Harle, Sean Holden:
  Modeling the Model Athlete: Automatic Coaching of Rowing Technique. 372-381
  

Image and Video Analysis

• Cong Phuoc Huynh, Antonio Robles-Kelly:
  Optimal Solution of the Dichromatic Model for Multispectral Photometric Invariance. 382-391
  
• Pakaket Wattuya, Xiaoyi Jiang:
  Ensemble Combination for Solving the Parameter Selection Problem in Image Segmentation. 392-401
  
• Özge Çavus, Selim Aksoy:
  Semantic Scene Classification for Image Annotation and Retrieval. 402-410
  
• Yen-Wei Chen, Takayuki Fukui, Xu Qiao, Takanori Igarashi, Keisuke Nakao, Akio Kashimoto:
  Multi-angle View, Illumination and Cosmetic Facial Image Database (MaVIC) and Quantitative Analysis of Facial Appearance. 411-420
  

Applications

• Kiwon Yun, Junyeong Yang, Hyeran Byun:
  Shape Representation Robust to the Sketching Order Using Distance Map and Direction Histogram. 421-430
  
• Cristian Olivares-Rodríguez, José Oncina:
  A Stochastic Approach to Median String Computation. 431-440
  
• Nicole M. Artner, Salvador B. López Mármol, Csaba Beleznai, Walter G. Kropatsch:
  Tracking by Hierarchical Representation of Target Structure. 441-450
  
• Nathan Brewer, Nianjun Liu:
  Using the Shape Characteristics of Rain to Identify and Remove Rain from Video. 451-458
  

SPR

Ensemble Methods

• Paolo Simeone, David M. J. Tax, Robert P. W. Duin, Francesco Tortorella:
  A Fast Approach to Improve Classification Performance of ECOC Classification Systems. 459-468
  
• Yan Jiang, Xiaoqing Ding:
  Partially Corrective AdaBoost. 469-478
  
• Mohammad T. Sadeghi, Masoumeh Samiei, Josef Kittler:
  Selection and Fusion of Similarity Measure Based Classifiers Using Support Vector Machines. 479-488
  
• Zhouyu Fu, Antonio Robles-Kelly:
  On Mixtures of Linear SVMs for Nonlinear Classification. 489-499
  
• Battista Biggio, Giorgio Fumera, Fabio Roli:
  Adversarial Pattern Classification Using Multiple Classifiers and Randomisation. 500-509
  

Pattern Recognition

• Ludmila I. Kuncheva, Catrin O. Plumpton:
  Adaptive Learning Rate for Online Linear Discriminant Classifiers. 510-519
  
• Juan José Rodríguez, Ludmila I. Kuncheva:
  Combining Online Classification Approaches for Changing Environments. 520-529
  
• Akira Tanaka, Hideyuki Imai, Mineichi Kudo, Masaaki Miyakoshi:
  Optimal Kernel in a Class of Kernels with an Invariant Metric. 530-539
  
• Ke Qin, B. John Oommen:
  Chaotic Pattern Recognition: The Spectrum of Properties of the Adachi Neural Network. 540-550
  
• Robert P. W. Duin, Elzbieta Pekalska, Artsiom Harol, Wan-Jui Lee, Horst Bunke:
  On Euclidean Corrections for Non-Euclidean Dissimilarities. 551-561
  

Feature Selection

• Kazuaki Aoki, Mineichi Kudo:
  Feature and Classifier Selection in Class Decision Trees. 562-571
  
• Hiroshi Tenmoto, Mineichi Kudo:
  Soft Feature Selection by Using a Histogram-Based Classifier. 572-581
  
• Simone Marinai, Emanuele Marino, Giovanni Soda:
  Embedded Map Projection for Dimensionality Reduction-Based Similarity Search. 582-591
  
• Myoung Soo Park, Jin Young Choi:
  Novel Incremental Principal Component Analysis with Improved Performance. 592-601
  

Density Estimation and Clustering

• Luis Rueda:
  An Efficient Algorithm for Optimal Multilevel Thresholding of Irregularly Sampled Histograms. 602-611
  
• Hoel Le Capitaine, Carl Frélicot:
  A Family of Cluster Validity Indexes Based on a l-Order Fuzzy OR Operator. 612-621
  
• Sung-Hyuk Cha:
  Fast Multivariate Ordinal Type Histogram Matching. 622-632
  
• Sung-Hyuk Cha:
  Distance between Histograms with Shuffled Cost Matrix. 633-643
  
• Antonio Adán, Miguel Adán, Santiago Salamanca, Pilar Merchán:
  Using Non Local Features for 3D Shape Grouping. 644-653
  

Computer Vision and Biometrics

• Sang-Woon Kim, Jian Gao:
  A Dynamic Programming Technique for Optimizing Dissimilarity-Based Classifiers. 654-663
  
• Jing Wu, William A. P. Smith, Edwin R. Hancock:
  Supervised Principal Geodesic Analysis on Facial Surface Normals for Gender Classification. 664-673
  
• Claudio Marrocco, Maria Teresa Ricamato, Francesco Tortorella:
  Exploring Margin Maximization for Biometric Score Fusion. 674-683
  
• Gian Luca Marcialis, Ajita Rattani, Fabio Roli:
  Biometric Template Update: An Experimental Investigation on the Relationship between Update Errors and Performance Degradation in Face Verification. 684-693
  
• Xiao Dong, Guoyan Zheng:
  Automatic Mutual Nonrigid Registration of Dense Surfaces by Graphical Model Based Inference. 694-704
  

Pattern Recognition and Applications (Jointly with SSPR)

• Zhi Zeng, Wei Liang, Heping Li, Shuwu Zhang:
  A Novel Video Classification Method Based on Hybrid Generative/Discriminative Models. 705-713
  
• Chandan K. Reddy, Jin Hyeong Park:
  Scale-Space Kernels for Additive Modeling. 714-723
  
• David M. J. Tax, Robert P. W. Duin:
  Learning Curves for the Analysis of Multiple Instance Classifiers. 724-733
  

SPR Poster Papers

Computer Vision and Biometrics

• Agnes Swadzba, Sven Wachsmuth:
  Categorizing Perceptions of Indoor Rooms Using 3D Features. 734-744
  
• Biagio Freni, Gian Luca Marcialis, Fabio Roli:
  Template Selection by Editing Algorithms: A Case Study in Face Recognition. 745-754
  
• Aglika Gyaourova, Arun Ross:
  A Novel Coding Scheme for Indexing Fingerprint Patterns. 755-764
  
• Luca Didaci, Gian Luca Marcialis, Fabio Roli:
  A Theoretical and Experimental Analysis of Template Co-update in Biometric Verification Systems. 765-774
  
• Yong Xu, David Zhang:
  A New Solution Scheme of Unsupervised Locality Preserving Projection Method for the SSS Problem. 775-781
  
• Alberto J. Pérez Jiménez, Jose Luis Guardiola, Juan Carlos Pérez-Cortes:
  High Occupancy Vehicle Detection. 782-789
  

Ensemble Methods

• Kai Lienemann, Thomas Plötz, Gernot A. Fink:
  Automatic Classification of NMR Spectra by Ensembles of Local Experts. 790-800
  
• Satoshi Shirai, Mineichi Kudo, Atsuyoshi Nakamura:
  Bagging, Random Subspace Method and Biding. 801-810
  
• Raisa Socorro, Luisa Micó:
  Use of Structured Pattern Representations for Combining Classifiers. 811-820
  
• Roberto Tronci, Giorgio Giacinto, Fabio Roli:
  Combination of Experts by Classifiers in Similarity Score Spaces. 821-830
  
• Asif Ekbal, Sivaji Bandyopadhyay:
  Improving the Performance of a NER System by Post-processing and Voting. 831-841
  
• Lorène Allano, Sonia Garcia-Salicetti, Bernadette Dorizzi:
  A Low Cost Incremental Biometric Fusion Strategy for a Handheld Device. 842-851
  

Applications

• Manuele Bicego, Enrico Grosso, Edoardo Otranto:
  A Hidden Markov Model Approach to Classify and Predict the Sign of Financial Local Trends. 852-861
  
• Karim Abou-Moustafa, Frank P. Ferrie:
  Local Metric Learning on Manifolds with Application to Query-Based Operations. 862-873
  
• Maiko Sato, Mineichi Kudo, Jun Toyama:
  Behavior Analysis of Volume Prototypes in High Dimensionality. 874-884
  
• Alice Este, Francesco Gargiulo, Francesco Gringoli, Luca Salgarelli, Carlo Sansone:
  Pattern Recognition Approaches for Classifying IP Flows. 885-895
  

Pattern Recognition

• Hyun-Chul Kim, Zoubin Ghahramani:
  Outlier Robust Gaussian Process Classification. 896-905
  
• Manuele Bicego, Alessandro Trudda:
  2D Shape Classification Using Multifractional Brownian Motion. 906-916
  
• Vicente García, Ramón Alberto Mollineda, José Salvador Sánchez:
  A New Performance Evaluation Method for Two-Class Imbalanced Problems. 917-925
  
• Eva Gómez-Ballester, Luisa Micó, José Oncina:
  A Pruning Rule Based on a Distance Sparse Table for Hierarchical Similarity Search Algorithms. 926-936
  
• Sabine Barrat, Salvatore Tabbone:
  Classification and Automatic Annotation Extension of Images Using Bayesian Network. 937-946
  
• Laurent Wendling, Jan Rendek, Pascal Matsakis:
  Selection of Suitable Set of Decision Rules Using Choquet Integral. 947-955
  

Feature Selection and Clustering

• Petr Somol, Jana Novovicová:
  Evaluating the Stability of Feature Selectors That Optimize Feature Subset Cardinality. 956-966
  
• Ranga Raju Vatsavai, Shashi Shekhar, Budhendra L. Bhaduri:
  A Learning Scheme for Recognizing Sub-classes from Model Trained on Aggregate Classes. 967-976
  
• Katerine Díaz-Chito, Francesc J. Ferri, Wladimiro Díaz Villanueva:
  An Empirical Evaluation of Common Vector Based Classification Methods and Some Extensions. 977-985
  

Invited Talks (Full Papers)

• Tin Kam Ho:
  Data Complexity Analysis: Linkage between Context and Solution in Classification. 986-995
  
• Horst Bunke, Kaspar Riesen:
  Graph Classification Based on Dissimilarity Space Embedding. 996-1007