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410
Unmixing fMRI with Independent Component Analysis  Using ICA to Characterize HighDimensional fMRI Data in a Concise Manner
, 2006
"... Independent component analysis (ICA) is a statistical method used to discover hidden factors (sources or features) from a set of measurements or observed data such that the sources are maximally independent. Typically, it assumes a generative model where observations are assumed to be linear mixtu ..."
Abstract

Cited by 41 (17 self)
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Independent component analysis (ICA) is a statistical method used to discover hidden factors (sources or features) from a set of measurements or observed data such that the sources are maximally independent. Typically, it assumes a generative model where observations are assumed to be linear mixtures of independent sources, and unlike principal component analysis (PCA), which uncorrelates the data, ICA works with higherorder statistics to achieve independence. An intuitive example of ICA can be given by a scatterplot of two independent signals s1 and s2. Figure 1(a) shows a plot of the two independent signals (s1, s2) in a scatter plot. Figure 1(b) and (c) shows the projections for PCA and ICA, respectively, for a linear mixture of s1 and s2. PCA finds the orthogonal vectors u1, u2 but does not find independent vectors. In contrast, ICA is able to find the independent vectors a1, a2 of the linear mixed signals (s1, s2) and is thus able to restore the original sources. A typical ICA model assumes that the source signals are not observable, are statistically independent, and are nonGaussian, with an unknown but linear mixing process. Consider an observed Mdimensional random vector denoted by x = (x1,... xM) T, which is generated by the ICA model: x = As, (1) where s = [s1, s2,... sN] T is an Ndimensional vector whose elements are assumed independent sources and AM×N is an unknown mixing matrix. Typically M> = N, so A is usually of full rank. The goal of ICA is to estimate an unmixing matrix WN×M such that y [defined in (2)] is a good approximation to the true sources: s. y = Wx (2) ICA is hence an approach to solving the blind source separation problem, which traditionally addresses the solution of the cocktail party problem in which several people are speaking simultaneously in the same room. The problem is to separate the voices of the different speakers by using recordings of several microphones in the room [2]. The basic ICA model for blind source separation is shown
Maté: A Tiny Virtual Machine for Sensor Networks
, 2002
"... Composed of tens of thousands of tiny devices with very limited resources ("motes"), sensor networks are subject to novel systems problems and constraints. The large number of motes in a sensor network means that there will often be some failing nodes; networks must be easy to repopulate. ..."
Abstract

Cited by 510 (21 self)
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capsules enable the deployment of adhoc routing and data aggregation algorithms. Maté's concise, highlevel program representation simplifies programming and allows large networks to be frequently reprogrammed in an energyefficient manner; in addition, its safe execution environment suggests a use
National Coastal Data Development Center National Oceanographic and Atmospheric Administration
"... Accurate and timely surf forecasts communicated in a clear, concise manner are essential in ..."
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Accurate and timely surf forecasts communicated in a clear, concise manner are essential in
Concise Report
"... Objective. MMP is a key enzyme in the degradation of extracellular matrices, and its expression plays important roles in inflammatory diseases. Cordycepin (3 0deoxyadenosine), a bioactive compound of Cordyceps militaris, has been shown to exhibit many pharmacological activities, such as anticancer ..."
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to evaluate binding activities of DNA to nuclear factorkB (NFkB) and activator protein1 (AP1). Results. Cordycepin inhibited IL1binduced MMP1 and MMP3 expressions in RASFs in a dosedependent manner. Among various chemokines [such as monocyte chemoattractant protein1 (MCP1), GRO, regulated upon
The Neuroanatomical Distribution of DCX Expression Does Not Match
"... rogenesis, and we discuss in a concise manner why, in our opinion, their conclusions are not supported by the facts that they present. ..."
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rogenesis, and we discuss in a concise manner why, in our opinion, their conclusions are not supported by the facts that they present.
Concise Integer Linear Programming Formulations for Dependency Parsing
, 2009
"... We formulate the problem of nonprojective dependency parsing as a polynomialsized integer linear program. Our formulation is able to handle nonlocal output features in an efficient manner; not only is it compatible with prior knowledge encoded as hard constraints, it can also learn soft constraint ..."
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Cited by 58 (11 self)
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We formulate the problem of nonprojective dependency parsing as a polynomialsized integer linear program. Our formulation is able to handle nonlocal output features in an efficient manner; not only is it compatible with prior knowledge encoded as hard constraints, it can also learn soft
A Linear Observed Time Statistical Parser Based on Maximum Entropy Models
, 1997
"... This paper presents a statistical parser for natural language that obtains a parsing accuracyroughly 87% precision and 86% recallwhich surpasses the best previously published results on the Wall St. Journal domain. The parser itself requires very little human intervention, since the inform ..."
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Cited by 171 (0 self)
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the information it uses to make parsing decisions is specified in a concise and simple manner, and is combined in a fully automatic way under the maximum entropy framework.
A Computational Model of Spatial Representations That Explains ObjectCentered Neglect in Parietal Patients
 Computation Neuroscience
, 1996
"... this paper is to describe a systemslevel model of spatial representations in the parietal cortex, and show by simulations that it can explain the above experimental data in a concise manner. ..."
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this paper is to describe a systemslevel model of spatial representations in the parietal cortex, and show by simulations that it can explain the above experimental data in a concise manner.
An Examination of DSLs for Concisely Representing Model Traversals and Transformations
 36th Annual Hawaii International Conference on System Sciences (HICSS'03)  Track 9, p. 325a, January 06  09
, 2003
"... A key advantage for the use of a DomainSpecific Language (DSL) is the leverage that can be captured from a concise representation of a programmer's intention. This paper reports on three different DSLs that were developed for two different projects. Two of the DSLs assisted in the specificatio ..."
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Cited by 15 (3 self)
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A key advantage for the use of a DomainSpecific Language (DSL) is the leverage that can be captured from a concise representation of a programmer's intention. This paper reports on three different DSLs that were developed for two different projects. Two of the DSLs assisted
A concise history of Dutch river floods
 Climatic Change
, 2000
"... Abstract. Based on a brief account of 1,000 years of river floods and flood management in the Dutch Rhine delta, it is argued that vulnerability to river floods depends on the complex interaction of economics, institutions, politics and, to a limited extent, climate. Response functions and threshold ..."
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Cited by 10 (1 self)
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and thresholds for climate change impacts should take this complexity into account rather than assuming society to be constant or evolving in a straightforward manner. 1.
Results 1  10
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410