*SSSPR12*
* ***Structural, Syntactic, and Statistical Pattern Recognition**

* 2D Shapes Classification Using BLAST

* 3D Shape Classification Using Commute Time

* Active Graph Matching Based on Pairwise Probabilities between Nodes

* Alignment and Morphing for the Boundary Curves of Anatomical Organs

* Analysis of Co-training Algorithm with Very Small Training Sets

* Approximate Axial Symmetries from Continuous Time Quantum Walks

* Automatic Dimensionality Estimation for Manifold Learning through Optimal Feature Selection

* Bidirectional Language Model for Handwriting Recognition

* Binary Gabor Statistical Features for Palmprint Template Protection

* Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation

* Class Centric Feature and Classifier Ensemble Selection Approach for Music Genre Classification, A

* Class-Dependent Dissimilarity Measures for Multiple Instance Learning

* Classification of High-Dimension PDFs Using the Hungarian Algorithm

* Clustering-Based Ensemble Technique for Shape Decomposition, A

* Colour Matching Function Learning

* Compact Form of the Pseudo-Inverse Matrix in the Approximation of a Star Graph Using the Conductance Electrical Model (CEM)

* Comparative Analysis of Forgery Detection Algorithms, A

* Comparison between Structural and Embedding Methods for Graph Classification, A

* Complexity of Computing Distances between Geometric Trees

* Conditional Random Fields for Land Use/Land Cover Classification and Complex Region Detection

* Conditional Variance of Differences: A Robust Similarity Measure for Matching and Registration

* Constrained Log-Likelihood-Based Semi-supervised Linear Discriminant Analysis

* Dipping Phenomenon, The

* Discrete Scale Space Neighborhood for Robust Deep Structure Extraction, A

* Dynamic Learning of SCRF for Feature Selection and Classification of Hyperspectral Imagery

* Entropic Selection of Histogram Features for Efficient Classification

* Estimating Surface Characteristics and Extracting Features from Polarisation

* Estimation, Learning, and Adaptation: Systems That Improve with Use

* Evolutionary Weighted Mean Based Framework for Generalized Median Computation with Application to Strings

* Extended Analyses for an Optimal Kernel in a Class of Kernels with an Invariant Metric

* Extended Fisher Criterion Based on Auto-correlation Matrix Information

* Face Recognition Using Multilinear Manifold Analysis of Local Descriptors

* Feature Selection Using Counting Grids: Application to Microarray Data

* Genetic Inspired Optimization for ECOC, A

* Graph Complexity from the Jensen-Shannon Divergence

* Graph Database Retrieval Based on Metric-Trees

* Graph Kernels: Crossing Information from Different Patterns Using Graph Edit Distance

* Heat Flow-Thermodynamic Depth Complexity in Directed Networks

* Heuristic Based on the Intrinsic Dimensionality for Reducing the Number of Cyclic DTW Comparisons in Shape Classification and Retrieval Using AESA, A

* Hierarchical Compositional Representations of Object Structure

* Hierarchical Graph Representation for Symbol Spotting in Graphical Document Images

* Hierarchical Image Segmentation Algorithm Based on an Observation Scale, A

* Human Action Recognition in Video by Fusion of Structural and Spatio-temporal Features

* Hypergraph Spectra for Unsupervised Feature Selection

* Implicit and Explicit Graph Embedding: Comparison of Both Approaches on Chemoinformatics Applications

* Improving Fuzzy Multilevel Graph Embedding through Feature Selection Technique

* Incremental Structured Part Model for Image Classification, An

* Infinite Sparse Factor Analysis for Blind Source Separation in Reverberant Environments

* Information Theoretic Prototype Selection for Unattributed Graphs

* Jensen-Shannon Kernel for Hypergraphs, A

* Laplacian Eigenimages in Discrete Scale Space

* Large Scale Experiments on Fingerprint Liveness Detection

* Learning Sparse Kernel Classifiers in the Primal

* Local Adaptation of the Histogram Radon Transform Descriptor: An Application to a Shoe Print Dataset, A

* Low Training Strength High Capacity Classifiers for Accurate Ensembles Using Walsh Coefficients

* Mode Seeking Clustering by KNN and Mean Shift Evaluated

* Modeling Spoken Dialog Systems under the Interactive Pattern Recognition Framework

* Modified Divergences for Gaussian Densities

* Multiple Classifier System for Classification of Breast Lesions Using Dynamic and Morphological Features in DCE-MRI, A

* New Index Based on Sparsity Measures for Comparing Fuzzy Partitions, A

* New Random Forest Method for One-Class Classification, A

* Novel Gabor-PHOG Features for Object and Scene Image Classification

* Novel Shadow-Assistant Human Fall Detection Scheme Using a Cascade of SVM Classifiers, A

* On the Correlation of Graph Edit Distance and L1 Distance in the Attribute Statistics Embedding Space

* On the Relation between the Common Labelling and the Median Graph

* One-Sided Prototype Selection on Class Imbalanced Dissimilarity Matrices

* Online Metric Learning Methods Using Soft Margins and Least Squares Formulations

* Optimization Techniques for Geometric Estimation: Beyond Minimization

* Out-of-Sample Embedding by Sparse Representation

* Poisoning Adaptive Biometric Systems

* Polichotomies on Imbalanced Domains by One-per-Class Compensated Reconstruction Rule

* Recognition of Long-Term Behaviors by Parsing Sequences of Short-Term Actions with a Stochastic Regular Grammar

* Relational Kernel-Based Framework for Hierarchical Image Understanding, A

* Shape Analysis Using the Edge-Based Laplacian

* Shape Similarity Based on a Treelet Kernel with Edition

* Simultaneous Learning of Localized Multiple Kernels and Classifier with Weighted Regularization

* Sparse Discriminant Analysis Based on the Bayesian Posterior Probability Obtained by L1 Regression

* Support Vector Machines Training Data Selection Using a Genetic Algorithm

* Top-Down Tracking and Estimating 3D Pose of a Die

* Unified View of Two-Dimensional Principal Component Analyses, A

* Unsupervised Clustering of Human Pose Using Spectral Embedding

* Validation of Network Classifiers

83 for SSSPR12

*SSSPR14*
* ***Structural, Syntactic, and Statistical Pattern Recognition**

Last update:21-Apr-14 12:12:00

Use price@usc.edu for comments.