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NIPS
2007
13 years 9 months ago
Convex Clustering with Exemplar-Based Models
Clustering is often formulated as the maximum likelihood estimation of a mixture model that explains the data. The EM algorithm widely used to solve the resulting optimization pro...
Danial Lashkari, Polina Golland
CDC
2008
IEEE
14 years 2 months ago
Convex duality and entropy-based moment closures: Characterizing degenerate densities
A common method for constructing a function from a finite set of moments is to solve a constrained minimization problem. The idea is to find, among all functions with the given ...
Cory D. Hauck, C. David Levermore, André L....
ICASSP
2010
IEEE
13 years 8 months ago
A convex relaxation for approximate maximum-likelihood 2D source localization from range measurements
This paper addresses the problem of locating a single source from noisy range measurements in wireless sensor networks. An approximate solution to the maximum likelihood location ...
Pinar Oguz-Ekim, João Pedro Gomes, Jo&atild...
ISPD
1997
ACM
142views Hardware» more  ISPD 1997»
14 years 1 days ago
Minimization of chip size and power consumption of high-speed VLSI buffers
In this paper, we study optimal bu er design in high-performance VLSI systems. Speci cally, we design a bu er for a given load such that chip area and power dissipation are minima...
D. Zhou, X. Y. Liu
JEA
2006
90views more  JEA 2006»
13 years 7 months ago
Heuristics for estimating contact area of supports in layered manufacturing
Layered Manufacturing is a technology that allows physical prototypes of three-dimensional models to be built directly from their digital representation, as a stack of two-dimensi...
Ivaylo Ilinkin, Ravi Janardan, Michiel H. M. Smid,...