Greedy Algorithms for Nonnegativity-Constrained Simultaneous Sparse Recovery [0.03%]
基于非负约束的稀疏恢复贪婪算法
Daeun Kim,Justin P Haldar
Daeun Kim
This work proposes a family of greedy algorithms to jointly reconstruct a set of vectors that are (i) nonnegative and (ii) simultaneously sparse with a shared support set. The proposed algorithms generalize previous approaches that were des...
Keith Dillon,Yu-Ping Wang
Keith Dillon
In this paper we take a novel approach to the regularization of underdetermined linear systems. Typically, a prior distribution is imposed on the unknown to hopefully force a sparse solution, which often relies on uniqueness of the regulari...
J Ruiz-Alzola,R Kikinis,C-F Westin
J Ruiz-Alzola
This paper describes a unified approach to the detection of point landmarks-whose neighborhoods convey discriminant information-including multidimensional scalar, vector, and higher-order tensor data. The method is based on the interpretati...
Atul Ingle,James Bucklew,William Sethares et al.
Atul Ingle et al.
This paper discusses the development of a slope estimation algorithm called MAPSlope for piecewise linear data that is corrupted by Gaussian noise. The number and locations of slope change points (also known as breakpoints) are assumed to b...
Regulatory component analysis: a semi-blind extraction approach to infer gene regulatory networks with imperfect biological knowledge [0.03%]
基于半盲成分分析的基因调控网络反演方法研究
Chen Wang,Jianhua Xuan,Ie-Ming Shih et al.
Chen Wang et al.
With the advent of high-throughput biotechnology capable of monitoring genomic signals, it becomes increasingly promising to understand molecular cellular mechanisms through systems biology approaches. One of the active research topics in s...
On approximation of smooth functions from samples of partial derivatives with application to phase unwrapping [0.03%]
基于偏导数样本的光滑函数逼近及其在相位展开中的应用
Oleg Michailovich,Allen Tannenbaum
Oleg Michailovich
This paper addresses the problem of approximating smooth bivariate functions from the samples of their partial derivatives. The approximation is carried out under the assumption that the subspace to which the functions to be recovered are s...
Hengyong Yu,Ge Wang
Hengyong Yu
With the rapid development of x-ray source and detector technologies, multi-source scanners become a hot topic in the CT field, which can acquire several projections simultaneously. Aided with the ECG-gating technique, the multi-source scan...
Relationships between probabilistic Boolean networks and dynamic Bayesian networks as models of gene regulatory networks [0.03%]
概率布尔网络和动态贝叶斯网络作为基因调控网络模型之间的关系研究
Harri Lähdesmäki,Sampsa Hautaniemi,Ilya Shmulevich et al.
Harri Lähdesmäki et al.
A significant amount of attention has recently been focused on modeling of gene regulatory networks. Two frequently used large-scale modeling frameworks are Bayesian networks (BNs) and Boolean networks, the latter one being a special case o...