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KDD
2005
ACM
165views Data Mining» more  KDD 2005»
14 years 8 months ago
Co-clustering by block value decomposition
Dyadic data matrices, such as co-occurrence matrix, rating matrix, and proximity matrix, arise frequently in various important applications. A fundamental problem in dyadic data a...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu
SAC
2010
ACM
14 years 3 months ago
Maintaining data reliability without availability in P2P storage systems
Peer-to-peer (P2P) storage is a promising technology to provide users with cheap and online persistence. However, due the instability of these infrastructures, P2P storage systems...
Lluis Pamies-Juarez, Pedro García Ló...
MM
2006
ACM
203views Multimedia» more  MM 2006»
14 years 2 months ago
Learning image manifolds by semantic subspace projection
In many image retrieval applications, the mapping between highlevel semantic concept and low-level features is obtained through a learning process. Traditional approaches often as...
Jie Yu, Qi Tian
CIVR
2008
Springer
125views Image Analysis» more  CIVR 2008»
13 years 10 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
SAC
2004
ACM
14 years 1 months ago
Axes-based visualizations with radial layouts
In the analysis of multidimensional data sets questions involving detection of extremal events, correlations, patterns and trends play an increasingly important role in a variety ...
Christian Tominski, James Abello, Heidrun Schumann