Decision estimation and classification: an introduction to pattern recognition and related topics
Decision estimation and classification: an introduction to pattern recognition and related topics
SIGGRAPH '89 Proceedings of the 16th annual conference on Computer graphics and interactive techniques
Computer graphics: principles and practice (2nd ed.)
Computer graphics: principles and practice (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Handbook of pattern recognition and image processing (vol. 2): computer vision
Handbook of pattern recognition and image processing (vol. 2): computer vision
The nature of statistical learning theory
The nature of statistical learning theory
Pattern classification with compact distribution maps
Computer Vision and Image Understanding
Meta Analysis of Classification Algorithms for Pattern Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Genetic programming based pattern classification with feature space partitioning
Information Sciences: an International Journal
ACM Computing Surveys (CSUR)
Complexity Measures of Supervised Classification Problems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Vector Quantization Technique for Nonparametric Classifier Design
IEEE Transactions on Pattern Analysis and Machine Intelligence
Measuring Classification Complexity of Image Databases: A Novel Approach
ICIAP '99 Proceedings of the 10th International Conference on Image Analysis and Processing
Efficient computation and data structures for graphics.
Efficient computation and data structures for graphics.
Using boundary methods for estimating class separability
Using boundary methods for estimating class separability
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
A class discriminality measure based on feature space partitioning
Pattern Recognition
SPPRA'06 Proceedings of the 24th IASTED international conference on Signal processing, pattern recognition, and applications
Domains of Competence of Artificial Neural Networks Using Measures of Separability of Classes
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
Selecting discrete and continuous features based on neighborhood decision error minimization
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Intelligence and computation: a view from physiology
IWANN'03 Proceedings of the Artificial and natural neural networks 7th international conference on Computational methods in neural modeling - Volume 1
Feature selection with complexity measure in a quadratic programming setting
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
Information Sciences: an International Journal
Analysis of data complexity measures for classification
Expert Systems with Applications: An International Journal
| Hi-index | 0.15 |
Abstract--In this paper, we study two measures of classification complexity based on feature space partitioning: "purity" and "neighborhood separability." The new measures of complexity are compared with probabilistic distance measures and a number of other nonparametric estimates of classification complexity on a total of 10 databases from the University of Calfornia, Irvine, (UCI) repository.