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TSP
2011
170views more  TSP 2011»
14 years 3 months ago
Model Selection for Sinusoids in Noise: Statistical Analysis and a New Penalty Term
—Detection of the number of sinusoids embedded in noise is a fundamental problem in statistical signal processing. Most parametric methods minimize the sum of a data fit (likeli...
Boaz Nadler, Leonid Kontorovich
CN
2007
141views more  CN 2007»
14 years 9 months ago
Identifying lossy links in wired/wireless networks by exploiting sparse characteristics
In this paper, we consider the problem of estimating link loss rates based on end-to-end path loss rates in order to identify lossy links on the network. We first derive a maximu...
Hyuk Lim, Jennifer C. Hou
RECOMB
2008
Springer
15 years 9 months ago
Integrating Sequence and Topology for Efficient and Accurate Detection of Horizontal Gene Transfer
Abstract. One phylogeny-based approach to horizontal gene transfer (HGT) detection entails comparing the topology of a gene tree to that of the species tree, and using their differ...
Cuong Than, Guohua Jin, Luay Nakhleh
KDD
2006
ACM
170views Data Mining» more  KDD 2006»
15 years 9 months ago
Computer aided detection via asymmetric cascade of sparse hyperplane classifiers
This paper describes a novel classification method for computer aided detection (CAD) that identifies structures of interest from medical images. CAD problems are challenging larg...
Jinbo Bi, Senthil Periaswamy, Kazunori Okada, Tosh...
ISBI
2006
IEEE
15 years 10 months ago
Joint detection-estimation of brain activity in fMRI using an autoregressive noise model
Different approaches have been considered so far to cope with the temporal correlation of fMRI data for brain activity detection. However, it has been reported that modeling this ...
Jérôme Idier, Jean-Baptiste Poline, P...