Call for Papers
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:
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;Â
Semi Supervised learning; Weakly Supervised LearningÂ
Active Learning; Novelty Detection; Deep Learning
Generative Models; Adversarial Learning
Reinforcement Learning; Transfer Learning;
Domain Adaptation; Data Complexity; Data Modeling
SSPR Topics
Structural Matching; Structural Complexity
Syntactic Pattern Recognition
Graph-theoretic Methods; Graph Neural Networks
Graphical Models; Structural Kernels
Spectral Methods
Spatio-Temporal Pattern Recognition
Structured Text Analysis
Intelligent Sensing Systems
Multimedia Analysis; Multimedia Retrieval
Image Document Analysis; Image Understanding
Shape Analysis