Optimal matching of general polygons based on the minimum zone error
Pattern Recognition Letters
An effective algorithm for the segmentation of digital plane curves - The isoparametric formulation
Pattern Recognition Letters
News Sensitive Stock Trend Prediction
PAKDD '02 Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Bidimensional Shapes Polygonalization by ACO
ANTS '02 Proceedings of the Third International Workshop on Ant Algorithms
Extraction of Primitive Motion for Human Motion Recognition
DS '99 Proceedings of the Second International Conference on Discovery Science
Discovering of Correlation from Multi-stream of Human Motion
DS '00 Proceedings of the Third International Conference on Discovery Science
Extraction of Primitive Motion and Discovery of Association Rules from Human Motion Data
Progress in Discovery Science, Final Report of the Japanese Discovery Science Project
``Seeing'' Objects in Spatial Datasets
IDA '99 Proceedings of the Third International Symposium on Advances in Intelligent Data Analysis
Online Segmentation of Freehand Stroke by Dynamic Programming
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
A new adaptive vertex-based binary shape coding technique
Image and Vision Computing
Optimal Piecewise Polynomial L2Approximation of Functions of One and Two Variables
IEEE Transactions on Computers
Understanding Shape: Angles and Sides
IEEE Transactions on Computers
Representation of Random Waveforms by Relational Trees
IEEE Transactions on Computers
Polygonal Approximations by Newton's Method
IEEE Transactions on Computers
IEEE Transactions on Computers
Combining local belief from low-level primitives for perceptual grouping
Pattern Recognition
Morphological multiscale decomposition of connected regions with emphasis on cell clusters
Computer Vision and Image Understanding
A time series representation model for accurate and fast similarity detection
Pattern Recognition
On the decomposition of cell clusters
Journal of Mathematical Imaging and Vision
Edge finding, segmentation of edges and recognition of complex objects
IJCAI'75 Proceedings of the 4th international joint conference on Artificial intelligence - Volume 1
Modelling ECG signals with hidden Markov models
Artificial Intelligence in Medicine
Benchmarking: an interactive tool for vectorization of raster images
SENSIG'09/VIS'09/MATERIALS'09 Proceedings of the 2nd WSEAS International Conference on Sensors, and Signals and Visualization, Imaging and Simulation and Materials Science
Data reduction of large vector graphics
Pattern Recognition
Corner detection and curve segmentation by multiresolution chain-code linking
Pattern Recognition
Clustering and line detection in laser range measurements
Robotics and Autonomous Systems
Spatial information extraction for cognitive mapping with a mobile robot
COSIT'07 Proceedings of the 8th international conference on Spatial information theory
SIAM Journal on Scientific Computing
Prediction-based geometric feature extraction for 2D laser scanner
Robotics and Autonomous Systems
Improving stock market prediction by integrating both market news and stock prices
DEXA'11 Proceedings of the 22nd international conference on Database and expert systems applications - Volume Part II
Mining time series with mine time
SETN'06 Proceedings of the 4th Helenic conference on Advances in Artificial Intelligence
Polygonal approximation of digital curves using a multi-objective genetic algorithm
GREC'05 Proceedings of the 6th international conference on Graphics Recognition: ten Years Review and Future Perspectives
An O(N) algorithm for polygonal approximation
Pattern Recognition Letters
ε-Isometry based shape approximation for image content representation
Signal Processing
OBST-based segmentation approach to financial time series
Engineering Applications of Artificial Intelligence
Robotics and Autonomous Systems
| Hi-index | 15.01 |
Piecewise approximation is described as a way of feature extraction, data compaction, and noise filtering of boundaries of regions of pictures and waveforms. A new fast algorithm is proposed which allows for a variable number of segments. After an arbitrary initial choice, segments are split or merged in order to drive the error norm under a prespecified bound. Results of computer experiments with cell outlines and electrocardiograms are reported.