145 search results - page 1 / 29 » Unsupervised Segmentation of Poisson Data |
ICPR
2000
IEEE
13 years 9 months ago
2000
IEEE
This paper describes a new approach to the analysis of Poisson point processes, in time (1D) or space (2D), which is based on the minimum description length (MDL) framework. Speci...
KDD
2006
ACM
14 years 4 months ago
2006
ACM
Time-series of count data are generated in many different contexts, such as web access logging, freeway traffic monitoring, and security logs associated with buildings. Since this...
ICDM
2009
IEEE
13 years 11 months ago
2009
IEEE
—Segmentation, the task of splitting a long sequence of discrete symbols into chunks, can provide important information about the nature of the sequence that is understandable to...
CAIP
2009
Springer
13 years 9 months ago
2009
Springer
This paper deals with denoising of density images with bad Poisson statistics (low count rates), where the reconstruction of the major structures seems the only reasonable task. Ob...
IJCNN
2000
IEEE
13 years 8 months ago
2000
IEEE
This paper presents an unsupervised segmentation method for feature sequences based on competitivelearning hidden Markov models. Models associated with the nodes of the Self-Organ...