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S+SSPR 2018 : IAPR Joint International Workshops on Statistical Techniques in Pattern Recognition (SPR 2018) and Structural and Syntactic Pattern Recognition (SSPR 2018)

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Link: http://ssspr2018.buaa.edu.cn/
 
When Aug 17, 2018 - Aug 19, 2018
Where Fragrance Hill, Beijing
Submission Deadline May 1, 2018
Notification Due Jun 10, 2018
Final Version Due Jun 20, 2018
Categories    machine learning   pattern recognition   computer science   artificial intelligence
 

Call For Papers

S+SSPR 2018 is a joint biannual event organized by Technical Committee 1 (Statistical Pattern Recognition Technique) and Technical Committee 2 (Structural and Syntactical Pattern Recognition) of the International Association of Pattern Recognition (IAPR). Following the trend of previous editions, S+SSPR 2018 will be held in close proximity and shortly before the International Conference on Pattern Recognition (ICPR). This time the workshops will be hosted by Beihang University. Authors are invited to submit papers addressing any topic in statistical, structural or syntactic pattern recognition and their applications. Possible topics of interest include, but are not limited to:


Papers from this conference will be invited to submit their expanded papers to a Special Issue " Recent Advances in Statistical, Structural and Syntactic Pattern Recognition", which will be published in Pattern Recognition Letters in 2019.

SPR Topics:
Classification; Prediction
Gaussian Processes; Randomized Algorithms
Multiple Classifiers; Ensemble Methods
Model Selection; Feature Selection
Dimensionality Reduction
Dissimilarity Representations
Metric Learning; Representation Learning
Multiple Instance Learning
Clustering
Semi-Supervised Learning; Weakly-supervised Learning
Active Learning; Novelty Detection
Deep Learning; Neural Networks
Adversarial Learning; Reinforcement Learning
Transfer Learning; Domain Adaptation
Data Complexity; Data Modeling
Security of Machine Learning

SSPR Topics:
Structural Matching
Structural Complexity
Syntactic Pattern Recognition
Graph-theoretic Methods
Graphical Models
Structural Kernels
Spectral Methods
Spatio-Temporal Pattern Recognition
Structured Text Analysis
Stochastic Structural Models
Intelligent Sensing Systems
Multimedia Retrieval
Image Document Analysis
Image Understanding
Shape Analysis

Organization
Honorary Chair: Edwin Hancock, University of York, UK
General Chair: Xiao Bai, Beihang University, China
Programme Chairs: Antonio Robles-Kelly, Data61-CSIRO, Australia
Battista Biggio, University of Cagliari, Italy
SPR Chair: Tin Kam Ho, IBM Watson, USA
SSPR Chair: Richard Wilson, University of York, UK

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