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CIVR
2008
Springer
222views Image Analysis» more  CIVR 2008»
13 years 9 months ago
Automatic image annotation via local multi-label classification
As the consequence of semantic gap, visual similarity does not guarantee semantic similarity, which in general is conflicting with the inherent assumption of many generativebased ...
Mei Wang, Xiangdong Zhou, Tat-Seng Chua
CIVR
2008
Springer
125views Image Analysis» more  CIVR 2008»
13 years 9 months ago
Leveraging user query log: toward improving image data clustering
Image clustering is useful in many retrieval and classification applications. The main goal of image clustering is to partition a given dataset into salient clusters such that the...
Hao Cheng, Kien A. Hua, Khanh Vu
SDM
2010
SIAM
204views Data Mining» more  SDM 2010»
13 years 9 months ago
Scalable Tensor Factorizations with Missing Data
The problem of missing data is ubiquitous in domains such as biomedical signal processing, network traffic analysis, bibliometrics, social network analysis, chemometrics, computer...
Evrim Acar, Daniel M. Dunlavy, Tamara G. Kolda, Mo...
NIPS
2008
13 years 9 months ago
Grouping Contours Via a Related Image
Contours have been established in the biological and computer vision literature as a compact yet descriptive representation of object shape. While individual contours provide stru...
Praveen Srinivasan, Liming Wang, Jianbo Shi
SDM
2008
SIAM
139views Data Mining» more  SDM 2008»
13 years 9 months ago
Simultaneous Unsupervised Learning of Disparate Clusterings
Most clustering algorithms produce a single clustering for a given data set even when the data can be clustered naturally in multiple ways. In this paper, we address the difficult...
Prateek Jain, Raghu Meka, Inderjit S. Dhillon
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