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; 

Semi Supervised learning; Weakly Supervised Learning 

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