Two Maximum Entropy-Based Algorithms for Running Quantile Estimation in Nonstationary Data Streams
The need to estimate a particular quantile of a distribution is an important problem that frequently arises in many computer vision and signal processing applications. For example, our work was motivated by the requirements of many semiautomatic surveillance analytics systems that detect abnormaliti...
| Main Authors: | , , |
|---|---|
| Format: | Journal Article |
| Published: |
IEEE Press
2015
|
| Online Access: | http://hdl.handle.net/20.500.11937/56911 |