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» Optimization with EM and Expectation-Conjugate-Gradient
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ICDM
2008
IEEE
160views Data Mining» more  ICDM 2008»
14 years 2 months ago
Direct Zero-Norm Optimization for Feature Selection
Zero-norm, defined as the number of non-zero elements in a vector, is an ideal quantity for feature selection. However, minimization of zero-norm is generally regarded as a combi...
Kaizhu Huang, Irwin King, Michael R. Lyu
CVPR
2008
IEEE
14 years 10 months ago
Distributed data association and filtering for multiple target tracking
This paper presents a novel distributed framework for multi-target tracking with an efficient data association computation. A decentralized representation of trackers' motion...
Ting Yu, Ying Wu, Nils Krahnstoever, Peter H. Tu
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
CORR
2008
Springer
104views Education» more  CORR 2008»
13 years 8 months ago
A Variational Inference Framework for Soft-In-Soft-Out Detection in Multiple Access Channels
We propose a unified framework for deriving and studying soft-in soft-out (SISO) detection in multiple-access channels using the concept of variational inference. The proposed fram...
Darryl Dexu Lin, Teng Joon Lim
JCB
2006
123views more  JCB 2006»
13 years 7 months ago
Reconstructing Ancestral Haplotypes with a Dictionary Model
We propose a dictionary model for haplotypes. According to the model, a haplotype is constructed by randomly concatenating haplotype segments from a given dictionary of segments. ...
Kristin L. Ayers, Chiara Sabatti, Kenneth Lange