Conference Information

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

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Submission Date:
2018-05-01 Extended
Notification Date:
2018-06-10
Conference Date:
2018-08-17
Location:
Beijing, China
Years:
5
Viewed: 14239   Tracked: 2   Attend: 2

Call For Papers

S+SSPR 2018 (IAPR Joint International Workshops on Statistical Techniques in Pattern Recognition and Structural and Syntactic Pattern Recongnition) is an academic conference held in Beijing, China on 2018-08-17. The paper submission deadline is 2018-05-01 (extended). Acceptance notifications are sent on 2018-06-10.

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. Successful authors are invited to submit papers addressing any topic in statistical, structural or syntactic pattern recognition and their applications. Related Special Issue Papers from this conference will be invited to submit their substantially 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. Possible topics of interest include,but are not limited to: 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 Analysis Multimedia Retrieval Image Document Analysis Image Understanding Shape Analysis
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AttenderYear
Zhu Weiguo (114)2018
Sun Peng (351)2018
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