Editorial Board
Editorial
Non-linear dictionary learning with partially labeled data
Image segmentation with arbitrary noise models by solving minimal surface problems
A focus fusion framework with anisotropic depth map smoothing
Accurate fibre orientation measurement for carbon fibre surfaces
A superparticle filter for lane detection
Handwritten word image matching based on Heat Kernel Signature
Unfolding Kernel embeddings of graphs: Enhancing class separation through manifold learning
Face recognition under pose variation with local Gabor features enhanced by Active Shape and Statistical Models
Adaptive skew-sensitive ensembles for face recognition in video surveillance
A spatial-temporal framework based on histogram of gradients and optical flow for facial expression recognition in video sequences
Measuring the intensity of spontaneous facial action units with dynamic Bayesian network
QFuse: Online learning framework for adaptive biometric system
Novel outline features for pedestrian detection system with thermal images
Automated measurement of sintering degree in optical microscopy through image analysis of particle joins
Efficient and accurate set-based registration of time-separated aerial images
Unsupervised segmentation of highly dynamic scenes through global optimization of multiscale cues
Region-based Mixture of Gaussians modelling for foreground detection in dynamic scenes
Improving skeletal shape abstraction using multiple optimal solutions
3D rotation invariants by complex moments
A grid-based tracker for erratic targets
Feature representation for statistical-learning-based object detection: A review
Interactive tracking of insect posture
Robust active learning for the diagnosis of parasites
Scene text recognition using a Hough forest implicit shape model and semi-Markov conditional random fields
Document dewarping via text-line based optimization
Automatic ink mismatch detection for forensic document analysis
Feature selection in possibilistic modeling
Moment invariants under similarity transformation
Interval type-2 credibilistic clustering for pattern recognition
A novel validity index with dynamic cut-off for determining true clusters
Stratified feature sampling method for ensemble clustering of high dimensional data
Subspace clustering with automatic feature grouping
Decremental Sparse Modeling Representative Selection for prototype selection
On group-wise ℓp regularization: Theory and efficient algorithms
Model selection for linear classifiers using Bayesian error estimation
Bridging from syntactic to statistical methods: Classification with automatically segmented features from sequences
Multilabel predictions with sets of probabilities: The Hamming and ranking loss cases
Discrete optimal Bayesian classification with error-conditioned sequential sampling
Finding the best not the most: regularized loss minimization subgraph selection for graph classification
Matrixized learning machine with modified pairwise constraints
