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TKDE
2010
251views more  TKDE 2010»
13 years 3 months ago
Exploring Correlated Subspaces for Efficient Query Processing in Sparse Databases
The sparse data is becoming increasingly common and available in many real-life applications. However, relative little attention has been paid to effectively model the sparse data ...
Bin Cui, Jiakui Zhao, Dongqing Yang
CIVR
2008
Springer
271views Image Analysis» more  CIVR 2008»
13 years 10 months ago
Multiple feature fusion by subspace learning
Since the emergence of extensive multimedia data, feature fusion has been more and more important for image and video retrieval, indexing and annotation. Existing feature fusion t...
Yun Fu, Liangliang Cao, Guodong Guo, Thomas S. Hua...
CDC
2010
IEEE
114views Control Systems» more  CDC 2010»
13 years 3 months ago
On subspace identification of cascade structured systems
Subspace identification has proven useful when identifying identifying multi-input multi-output systems. It is, however, important in many applications to take a priori structural ...
Per Hagg, Bo Wahlberg, Henrik Sandberg
KDD
2006
ACM
156views Data Mining» more  KDD 2006»
14 years 9 months ago
Discovering significant OPSM subspace clusters in massive gene expression data
Order-preserving submatrixes (OPSMs) have been accepted as a biologically meaningful subspace cluster model, capturing the general tendency of gene expressions across a subset of ...
Byron J. Gao, Obi L. Griffith, Martin Ester, Steve...
TSP
2010
13 years 3 months ago
Sparse channel estimation for multicarrier underwater acoustic communication: from subspace methods to compressed sensing
Abstract--In this paper, we investigate various channel estimators that exploit channel sparsity in the time and/or Doppler domain for a multicarrier underwater acoustic system. We...
Christian R. Berger, Shengli Zhou, James C. Preisi...