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» Sequential sparsification for change detection
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CVPR
2008
IEEE
15 years 23 days ago
Sequential sparsification for change detection
This paper presents a general method for segmenting a vector valued sequence into an unknown number of subsequences where all data points from a subsequence can be represented wit...
Necmiye Ozay, Mario Sznaier, Octavia I. Camps
CORR
2007
Springer
126views Education» more  CORR 2007»
13 years 10 months ago
Decentralized sequential change detection using physical layer fusion
— We study the problem of decentralized sequential change detection with conditionally independent observations. The sensors form a star topology with a central node called fusio...
Leena Zacharias, Rajesh Sundaresan
AAAI
2008
14 years 1 months ago
Prediction and Change Detection in Sequential Data for Interactive Applications
We consider the problems of sequential prediction and change detection that arise often in interactive applications: A semi-automatic predictor is applied to a time-series and is ...
Jun Zhou, Li Cheng, Walter F. Bischof
ICDM
2007
IEEE
140views Data Mining» more  ICDM 2007»
14 years 2 months ago
Sequential Change Detection on Data Streams
Model-based declarative queries are becoming an attractive paradigm for interacting with many data stream applications. This has led to the development of techniques to accurately...
S. Muthukrishnan, Eric van den Berg, Yihua Wu
CORR
2007
Springer
131views Education» more  CORR 2007»
13 years 10 months ago
Bayesian sequential change diagnosis
Sequential change diagnosis is the joint problem of detection and identification of a sudden and unobservable change in the distribution of a random sequence. In this problem, the...
Savas Dayanik, Christian Goulding, H. Vincent Poor