Decision Combination in Multiple Classifier Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Method of Combining Multiple Experts for the Recognition of Unconstrained Handwritten Numerals
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape quantization and recognition with randomized trees
Neural Computation
A Database for Handwritten Text Recognition Research
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Handwritten Character Classification Using Nearest Neighbor in Large Databases
IEEE Transactions on Pattern Analysis and Machine Intelligence
Decision tree algorithms for handwritten digit recognition
Decision tree algorithms for handwritten digit recognition
Solving multiclass learning problems via error-correcting output codes
Journal of Artificial Intelligence Research
The Random Subspace Method for Constructing Decision Forests
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Combination Fingerprint Classifier
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
Detecting Faces in Images: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
A novel feature extraction method and hybrid tree classification for handwritten numeral recognition
Pattern Recognition Letters
Statistical Learning of Multi-view Face Detection
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
A Fragment-Based Approach to Object Representation and Classification
IWVF-4 Proceedings of the 4th International Workshop on Visual Form
Finding Objects by Grouping Primitives
Shape, Contour and Grouping in Computer Vision
An Empirical-Statistical Agenda for Recognition
Shape, Contour and Grouping in Computer Vision
Distinctive Features Should Be Learned
BMVC '00 Proceedings of the First IEEE International Workshop on Biologically Motivated Computer Vision
Object Classification Using a Fragment-Based Representation
BMVC '00 Proceedings of the First IEEE International Workshop on Biologically Motivated Computer Vision
FloatBoost Learning and Statistical Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast Binary Feature Selection with Conditional Mutual Information
The Journal of Machine Learning Research
Efficient Shape Matching Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Attractor Networks for Shape Recognition
Neural Computation
Feature Subset Selection and Ranking for Data Dimensionality Reduction
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape representation by a network of V4-like cells
Neural Networks
Level Learning Set: A Novel Classifier Based on Active Contour Models
ECML '07 Proceedings of the 18th European conference on Machine Learning
Multi-layer boosting for pattern recognition
Pattern Recognition Letters
Learning Pairwise Dissimilarity Profiles for Appearance Recognition in Visual Surveillance
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
International Journal of Computer Vision
Point matching as a classification problem for fast and robust object pose estimation
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Automatic cascade training with perturbation bias
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Learning a discriminative classifier using shape context distances
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Handwritten digits recognition improved by multiresolution classifier fusion
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
Investigation of random subspace and random forest methods applied to property valuation data
ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part I
Shape matching using a binary search tree structure of weak classifiers
Pattern Recognition
The multi angular descriptor (MAD): a binary and gray images descriptor for shape recognition
Proceedings of the 2nd International Workshop on Historical Document Imaging and Processing
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We introduce a very large family of binary features for two-dimensional shapes. The salient ones for separating particular shapes are determined by inductive learning during the construction of classification trees. There is a feature for every possible geometric arrangement of local topographic codes. The arrangements express coarse constraints on relative angles and distances among the code locations and are nearly invariant to substantial affine and nonlinear deformations. They are also partially ordered, which makes it possible to narrow the search for informative ones at each node of the tree. Different trees correspond to different aspects of shape. They are statistically weakly dependent due to randomization and are aggregated in a simple way. Adapting the algorithm to a shape family is then fully automatic once training samples are provided. As an illustration, we classify handwritten digits from the NIST database; the error rate is .7 percent.