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SDM
2009
SIAM
129views Data Mining» more  SDM 2009»
14 years 5 months ago
Scalable Distributed Change Detection from Astronomy Data Streams Using Local, Asynchronous Eigen Monitoring Algorithms.
This paper considers the problem of change detection using local distributed eigen monitoring algorithms for next generation of astronomy petascale data pipelines such as the Larg...
Kamalika Das, Kanishka Bhaduri, Sugandha Arora, We...
CVPR
2008
IEEE
14 years 10 months 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
CIDM
2007
IEEE
14 years 3 months ago
A Prototype-driven Framework for Change Detection in Data Stream Classification
This paper presents a prototype-driven framework for classifying evolving data streams. Our framework uses cluster prototypes to summarize the data and to determine whether the cur...
Hamed Valizadegan, Pang-Ning Tan
ICMCS
2007
IEEE
105views Multimedia» more  ICMCS 2007»
14 years 3 months ago
Enhanced Shot Change Detection using Motion Features for Soccer Video Analysis
An enhanced shot change detection algorithm for soccer video analysis is proposed in this paper. Features extracted from reliable motion vectors (MVs) are used to enhance the accu...
Yichuan Hu, Bo Han, Guijin Wang, Xinggang Lin
FSKD
2005
Springer
267views Fuzzy Logic» more  FSKD 2005»
14 years 2 months ago
Preventing Meaningless Stock Time Series Pattern Discovery by Changing Perceptually Important Point Detection
Discovery of interesting or frequently appearing time series patterns is one of the important tasks in various time series data mining applications. However, recent research critic...
Tak-Chung Fu, Fu-Lai Chung, Robert W. P. Luk, Chak...