Editorial Board
Feature fusion for facial landmark detection
Learning locality-constrained collaborative representation for robust face recognition
Infrared face recognition: A comprehensive review of methodologies and databases
Eyes closeness detection from still images with multi-scale histograms of principal oriented gradients
Iterative infrared ship target segmentation based on multiple features
End-to-end scene text recognition using tree-structured models
Ellipsoidal neighbourhood outlier factor for distributed anomaly detection in resource constrained networks
Estimating the camera direction of a geotagged image using reference images
Efficient multilevel image segmentation through fuzzy entropy maximization and graph cut optimization
Asplünd׳s metric defined in the Logarithmic Image Processing (LIP) framework: A new way to perform double-sided image probing for non-linear grayscale pattern matching
A statistical model for magnitudes and angles of wavelet frame coefficients and its application to texture retrieval
Extended Spectral Regression for efficient scene recognition
Detect foreground objects via adaptive fusing model in a hybrid feature space
3D soft-tissue tracking using spatial-color joint probability distribution and thin-plate spline model
Robust multi-view L2 triangulation via optimal inlier selection and 3D structure refinement
A distance measure for large graphs based on prime graphs
Scale-invariant template matching using histogram of dominant gradients
Masquerade attack on transform-based binary-template protection based on perceptron learning
Centroid index: Cluster level similarity measure
Cross-entropy clustering
Cooperative and penalized competitive learning with application to kernel-based clustering
Information theoretic clustering using a k-nearest neighbors approach
Kernel-based hard clustering methods in the feature space with automatic variable weighting
Joint tracking and classification based on aerodynamic model and radar cross section
Active learning with multi-criteria decision making systems
Exploration of classification confidence in ensemble learning
Bounded generalized Gaussian mixture model
Bayesian estimation of Dirichlet mixture model with variational inference
An efficient weighted Lagrangian twin support vector machine for imbalanced data classification
A locality correlation preserving support vector machine
A sparse-response deep belief network based on rate distortion theory
