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CIKM
2010
Springer
13 years 9 months ago
Partial drift detection using a rule induction framework
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...
Damon Sotoudeh, Aijun An
CVPR
2004
IEEE
15 years 20 days ago
Detecting Unusual Activity in Video
We present an unsupervised technique for detecting unusual activity in a large video set using many simple features. No complex activity models and no supervised feature selection...
Hua Zhong, Jianbo Shi, Mirkó Visontai
CVPR
2005
IEEE
15 years 20 days ago
Semi-Supervised Adapted HMMs for Unusual Event Detection
We address the problem of temporal unusual event detection. Unusual events are characterized by a number of features (rarity, unexpectedness, and relevance) that limit the applica...
Dong Zhang, Daniel Gatica-Perez, Samy Bengio, Iain...
CVPR
2008
IEEE
15 years 20 days ago
Taylor expansion based classifier adaptation: Application to person detection
Because of the large variation across different environments, a generic classifier trained on extensive data-sets may perform sub-optimally in a particular test environment. In th...
Cha Zhang, Raffay Hamid, Zhengyou Zhang
ICPR
2008
IEEE
14 years 12 months ago
Change detection based on adaptive Markov Random Fields
Usually changes in remote sensing images go along with the appearance or disappearance of some edges. In addition, pixels located along the edges are likely to weakly influenced b...
Chunlei Huo, Hanqing Lu, Jian Cheng, Keming Chen, ...