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COMBINATORICS
2006
221views more  COMBINATORICS 2006»
13 years 8 months ago
Kernels of Directed Graph Laplacians
Abstract. Let G denote a directed graph with adjacency matrix Q and indegree matrix D. We consider the Kirchhoff matrix L = D - Q, sometimes referred to as the directed Laplacian. ...
John S. Caughman IV, J. J. P. Veerman
DSP
2006
13 years 8 months ago
Matrix pencil method for simultaneously estimating azimuth and elevation angles of arrival along with the frequency of the incom
In this paper we describe a method for simultaneously estimating the direction of arrival (DOA) of the signal along with its unknown frequency. In a typical DOA estimation problem...
Nuri Yilmazer, Raul Fernandez-Recio, Tapan K. Sark...
CORR
2010
Springer
175views Education» more  CORR 2010»
13 years 9 months ago
Incorporating Side Information in Probabilistic Matrix Factorization with Gaussian Processes
Probabilistic matrix factorization (PMF) is a powerful method for modeling data associated with pairwise relationships, finding use in collaborative filtering, computational biolo...
Ryan Prescott Adams, George E. Dahl, Iain Murray
IRREGULAR
1995
Springer
14 years 10 days ago
Run-Time Techniques for Parallelizing Sparse Matrix Problems
Sparse matrix problems are di cult to parallelize e ciently on message-passing machines, since they access data through multiple levels of indirection. Inspector executor strategie...
Manuel Ujaldon, Shamik D. Sharma, Joel H. Saltz, E...
NIPS
2007
13 years 10 months ago
Probabilistic Matrix Factorization
Many existing approaches to collaborative filtering can neither handle very large datasets nor easily deal with users who have very few ratings. In this paper we present the Prob...
Ruslan Salakhutdinov, Andriy Mnih