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ML
2010
ACM
142views Machine Learning» more  ML 2010»
13 years 3 months ago
Fast adaptive algorithms for abrupt change detection
We propose two fast algorithms for abrupt change detection in streaming data that can operate on arbitrary unknown data distributions before and after the change. The first algor...
Daniel Nikovski, Ankur Jain
ICASSP
2009
IEEE
13 years 11 months ago
Adaptive quickest change detection with unknown parameter
Quickest detection of an abrupt distribution change with an unknown time varying parameter is considered. A novel adaptive approach is proposed to tackle this problem, which is sh...
Chengzhi Li, Huaiyu Dai, Husheng Li
ACIVS
2009
Springer
13 years 8 months ago
Unsupervised Detection of Gradual Video Shot Changes with Motion-Based False Alarm Removal
The temporal segmentation of a video into shots is a fundamental prerequisite for video retrieval. There are two types of shot boundaries: abrupt shot changes (“cuts”) and grad...
Ralph Ewerth, Bernd Freisleben
USAB
2010
13 years 3 months ago
An Experimental Investigation of the Akamai Adaptive Video Streaming
Akamai oers the largest Content Delivery Network (CDN) service in the world. Building upon its CDN, it recently started to offer High Denition (HD) video distribution using HTTP-...
Luca De Cicco, Saverio Mascolo
CORR
2011
Springer
213views Education» more  CORR 2011»
12 years 11 months ago
Adapting to Non-stationarity with Growing Expert Ensembles
Forecasting sequences by expert ensembles generally assumes stationary or near-stationary processes; however, in complex systems and many real-world applications, we are frequentl...
Cosma Rohilla Shalizi, Abigail Z. Jacobs, Aaron Cl...