When working together on a common document, collaborators frequently share and discuss their ideas about further revisions. Collaborative writing might, therefore, be thought of as a process of negotiating what change...
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We prove that Minimum Vertex Cover on κ-uniform hypergraphs is NP-hard to approximate within Ω(κ1-Ε). The result follows by a new reduction and a PCP characterization of NP by Håstad and Khot [11]. We also gi...
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A system using visual information to interact with its environment, e.g. a robot, needs to process an enormous amount of data. To ensure that the visual process has tractable complexity visual attention plays an impor...
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This article describes a case study that examined one procurer's reasoning about and work with usability-related issues as well as the contractor's response to those requirements. The aim of this study was to ...
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Hebbian learning rules are generally formulated as static rules. Under changing condition (e.g. neuromodulation, input statistics) most rules are sensitive to parameters. In particular, recent work lias focused 011 tw...
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ISBN:
(纸本)0262042088
Hebbian learning rules are generally formulated as static rules. Under changing condition (e.g. neuromodulation, input statistics) most rules are sensitive to parameters. In particular, recent work lias focused 011 two different, formulations of spike-t iming-dependent plasticity rules. Additive STT)P [1] is remarkably versatile but also very fragile, whereas multiplicative ST'DP [2. 3] is more robust but lacks attractive features such as synaptic compet it ion and rate stabilization. Here we address the problem of robustness in the additive STDP rule. We derive an adaptive control scheme, where the learning function is under fast dynamic control by postsynaptic activity t o stabilize learning under a variety of conditions. Such a control scheme can be implemented using known biophysical mechanisms of synapses. We show that this adaptive rule makes the additive STDP more robust. Finally, we give an example how meta plasticity of the adaptive rule can be used to guide STDP into different, type of learning regimes.
It is demonstrated that a straightforward extension of the Arrhenius law accurately describes diffusion in the thermodynamically stable liquid of hard spheres. A sharp negative deviation from this behavior is observed...
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It is demonstrated that a straightforward extension of the Arrhenius law accurately describes diffusion in the thermodynamically stable liquid of hard spheres. A sharp negative deviation from this behavior is observed as the liquid is compressed beyond its stability limit. This dynamical anomaly can be compared with the nonlinear slowing down characteristic of the supercooled dynamics regime in liquids with continuous interaction. It is suggested that the observed dynamical transition is caused by long-time decomposition of the configuration space. This interpretation is corroborated by the observation of characteristic anomalies in the geometry of a particle trajectory in the metastable domain.
Change representation concerns how changes of text are presented in writing tools. Change representation in collaborative writing can play an important role for the collaborators' understanding of changes of text....
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ISBN:
(纸本)0769514359
Change representation concerns how changes of text are presented in writing tools. Change representation in collaborative writing can play an important role for the collaborators' understanding of changes of text. We have conducted a laboratory study where 10 pairs of a writer and a reviewer produced argumentative letters by using the change representation functions. We have also set different conditions in the experimental task: (a) two ways of representing changes, indication and display, and (b) two collaboration models, the writer- and the reviewer-initiative models. A primary source of the data was obtained though interviews with the participants. The paper reports their experience of collaboration in writing with change representation tools, relevant design conclusions, and lessons learned from the study.
Traditionally, fusion of visual information for tracking has been based on explicit models for uncertainty and integration. Most of the approaches use some form of Bayesian statistics where strong models are employed....
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Traditionally, fusion of visual information for tracking has been based on explicit models for uncertainty and integration. Most of the approaches use some form of Bayesian statistics where strong models are employed. We argue that for cases where a large number of visual features are available, weak models for integration may be employed. We analyze integration by voting where two methods are proposed and evaluated: (i) response and (ii) action fusion. The methods differ in the choice of voting space: the former integrates visual information in image space and latter in velocity space. We also evaluate four weighting techniques for integration.
Harmonic broadcasting was introduced by Juhn and Tseng as a way to reduce the bandwidth requirements required for video-on-demand broadcasting. In this paper, we note that harmonic broadcasting is actually a special c...
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ISBN:
(纸本)089871513X
Harmonic broadcasting was introduced by Juhn and Tseng as a way to reduce the bandwidth requirements required for video-on-demand broadcasting. In this paper, we note that harmonic broadcasting is actually a special case of the priority encoded transmission scheme introduced by Albanese et al. and prove-using an information theoretic argument-that it is impossible to achieve the design goals of harmonic broadcasting using a shorter encoding.
Behaviour coordination is a notorious problem in mobile robotics. Behaviours are either in competition or collaborating to achieve the goals of a system, which leads to requirements for arbitration and/or fusion of co...
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Behaviour coordination is a notorious problem in mobile robotics. Behaviours are either in competition or collaborating to achieve the goals of a system, which leads to requirements for arbitration and/or fusion of control signals. In most systems the arbitration is specified in terms of "events" that denote positions or sensory input. The detection of these events allows discrete switching between groups of behaviours. In contrast, the fusion of behaviours is often achieved using potential fields, fuzzy rules, or superposition. In most cases, the underlying theoretical foundation is rather weak and the behaviour switching results in discrete changes in the overall system dynamics. In this paper, we present a scheme for behaviour coordination that is grounded in the dynamical systems approach. The methodology provides a solid theoretical basis for analysis and design of a behaviour coordination framework. This framework is demonstrated in the context of a domestic robot for fetch-and-carry type tasks. It is here shown that behaviour coordination can be analyzed as an integral part of the design to facilitate smooth transition and fusion between behaviours.
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