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» Prototype based outlier detection
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DAGSTUHL
2007
14 years 11 months ago
Subspace outlier mining in large multimedia databases
Abstract. Increasingly large multimedia databases in life sciences, ecommerce, or monitoring applications cannot be browsed manually, but require automatic knowledge discovery in d...
Ira Assent, Ralph Krieger, Emmanuel Müller, T...
69
Voted
KDD
2009
ACM
189views Data Mining» more  KDD 2009»
15 years 4 months ago
CoCo: coding cost for parameter-free outlier detection
How can we automatically spot all outstanding observations in a data set? This question arises in a large variety of applications, e.g. in economy, biology and medicine. Existing ...
Christian Böhm, Katrin Haegler, Nikola S. M&u...
KDD
2010
ACM
250views Data Mining» more  KDD 2010»
14 years 11 months ago
On community outliers and their efficient detection in information networks
Linked or networked data are ubiquitous in many applications. Examples include web data or hypertext documents connected via hyperlinks, social networks or user profiles connected...
Jing Gao, Feng Liang, Wei Fan, Chi Wang, Yizhou Su...
CIKM
2010
Springer
14 years 8 months ago
Top-Eye: top-k evolving trajectory outlier detection
The increasing availability of large-scale location traces creates unprecedent opportunities to change the paradigm for identifying abnormal moving activities. Indeed, various asp...
Yong Ge, Hui Xiong, Zhi-hua Zhou, Hasan Ozdemir, J...
ICASSP
2011
IEEE
14 years 1 months ago
Slice error concealment based on size-adaptive SSIM matching and motion vector outlier rejection
Consecutive corrupted MBs or slice errors are commonly seen in modern video transmission systems. Temporal error concealment is an effective approach to reduce the impact of error...
Hai Gao, Jo Yew Tham, Wei Siong Lee, Kwong Huang G...