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SDM
2009
SIAM
176views Data Mining» more  SDM 2009»
16 years 4 months ago
Constraint-Based Subspace Clustering.
In high dimensional data, the general performance of traditional clustering algorithms decreases. This is partly because the similarity criterion used by these algorithms becomes ...
Élisa Fromont, Adriana Prado, Céline...
SDM
2009
SIAM
114views Data Mining» more  SDM 2009»
16 years 4 months ago
Top-k Correlative Graph Mining.
Correlation mining has been widely studied due to its ability for discovering the underlying occurrence dependency between objects. However, correlation mining in graph databases ...
Yiping Ke, James Cheng, Jeffrey Xu Yu
EUROSYS
2010
ACM
16 years 4 months ago
Differential RAID: Rethinking RAID for SSD Reliability
Deployment of SSDs in enterprise settings is limited by the low erase cycles available on commodity devices. Redundancy solutions such as RAID can potentially be used to protect a...
Mahesh Balakrishnan, Asim Kadav, Vijayan Prabhakar...
IUI
2010
ACM
16 years 4 months ago
Raconteur: from intent to stories
When editing a story from a large collection of media, such as photos and video clips captured from daily life, it is not always easy to understand how particular scenes fit into ...
Pei-Yu Chi, Henry Lieberman
CVPR
2010
IEEE
16 years 3 months ago
Connecting Modalities: Semi-supervised Segmentation and Annotation of Images Using Unaligned Text Corpora
We propose a semi-supervised model which segments and annotates images using very few labeled images and a large unaligned text corpus to relate image regions to text labels. Give...
Richard Socher, Li Fei-Fei