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S+SSPR 2014 SSPR SPR conference workshop university of eastern finland uef joint international workshops on statistical techniques in pattern recognition and structural and syntactic pattern recognition


We invite original contributions within the following topics:

SPR TopicsSSPR Topics
Domain adaptation Structural Matching
Dissimilarity Representations Structural Complexity
Ensemble Methods Syntactic Pattern Recognition
Multiple Classifiers Image Understanding
Gaussian ProcessesShape Analysis
Dimensionality ReductionGraph-theoretic Methods
Clustering Algorithms Graphical Models
Model SelectionStructural Kernels
Semi-Supervised Learning Spectral Methods
Multiple Instance Learning Spatio-Temporal Pattern Recognition
Active Learning Stochastic Structural Models
Contextual Pattern Recognition Intelligent Sensing Systems
Location-based Pattern Recognition Multimedia Analysis
Partially Supervised Learning Structured Text Analysis
Novelty Detection Image Document Analysis
Comparative Studies

In addition to the original contributions, we also invite authors to submit their recent papers (within 1 year) published in a related journal (e.g. PAMI, PR, PRL, JMLR). These papers will undergo a lighter review process, and if accepted, they will be included in the workshop program and short abstract in the proceedings.


All manuscripts (max. 10 pages) must be following Springer's LNCS style (Latex or Word). All papers are submitted via


in pdf format, and will be reviewed at least two or more anonymous reviewers. Accepted papers (not exceeding 10 pages) will be published in Springer's Lecture Notes in Computer Science (LNCS) series, providing that at least one author will register to the workshop and present the paper. Camera ready should include all the source files (Latex or Word) and pdf.