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148
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ICASSP
2010
IEEE
15 years 5 months ago
Under-determined convolutive blind source separation using spatial covariance models
This paper deals with the problem of under-determined convolutive blind source separation. We model the contribution of each source to all mixture channels in the time-frequency d...
Ngoc Q. K. Duong, Emmanuel Vincent, Rémi Gr...
136
Voted
WOWMOM
2005
ACM
115views Multimedia» more  WOWMOM 2005»
15 years 10 months ago
Precise Distributed Localization Algorithms for Wireless Networks
We propose in this paper reliable and precise distributed localization algorithms for wireless networks: iterative multidimensional scaling (IT-MDS) and simulated annealing multid...
Saad Biaz, Yiming Ji
142
Voted
WSC
2004
15 years 6 months ago
Exact Simulation of Option Greeks under Stochastic Volatility and Jump Diffusion Models
This paper derives Monte Carlo simulation estimators to compute option price derivatives, i.e., the `Greeks,' under Heston's stochastic volatility model and some variant...
Mark Broadie, Özgür Kaya
172
Voted
PAMI
2007
196views more  PAMI 2007»
15 years 4 months ago
Clustering and Embedding Using Commute Times
This paper exploits the properties of the commute time between nodes of a graph for the purposes of clustering and embedding, and explores its applications to image segmentation a...
Huaijun Qiu, Edwin R. Hancock
PRL
2007
150views more  PRL 2007»
15 years 4 months ago
A method for initialising the K-means clustering algorithm using kd-trees
We present a method for initialising the K-means clustering algorithm. Our method hinges on the use of a kd-tree to perform a density estimation of the data at various locations. ...
Stephen J. Redmond, Conor Heneghan