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» Rank Estimation in Missing Data Matrix Problems
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ICASSP
2011
IEEE
13 years 24 days ago
A sparse covariance-based method for direction of arrival estimation
In this paper we present a new sparse iterative covariance-based estimation approach, called SPICE, to the direction of arrival estimation problem. SPICE is obtained by the minimi...
Petre Stoica, Prabhu Babu, Jian Li
WEBDB
2010
Springer
155views Database» more  WEBDB 2010»
14 years 2 months ago
Learning Topical Transition Probabilities in Click Through Data with Regression Models
The transition of search engine usersā€™ intents has been studied for a long time. The knowledge of intent transition, once discovered, can yield a better understanding of how diļ...
Xiao Zhang, Prasenjit Mitra
CVPR
2011
IEEE
13 years 4 months ago
High-resolution Hyperspectral Imaging via Matrix Factorization
Hyperspectral imaging is a promising tool for applications in geosensing, cultural heritage and beyond. However, compared to current RGB cameras, existing hyperspectral cameras ar...
Rei Kawakami, John Wright, Yu-Wing Tai, Yasuyuki M...
ICDM
2008
IEEE
184views Data Mining» more  ICDM 2008»
14 years 3 months ago
Bayesian Co-clustering
In recent years, co-clustering has emerged as a powerful data mining tool that can analyze dyadic data connecting two entities. However, almost all existing co-clustering techniqu...
Hanhuai Shan, Arindam Banerjee
ICML
2005
IEEE
14 years 10 months ago
Clustering through ranking on manifolds
Clustering aims to find useful hidden structures in data. In this paper we present a new clustering algorithm that builds upon the consistency method (Zhou, et.al., 2003), a semi-...
Markus Breitenbach, Gregory Z. Grudic