In this paper we propose a technique to incorporate contextual information into object classification. In the real world there are cases where the identity of an object is ambiguous due to the noise in the measurement...
In this paper we propose a technique to incorporate contextual information into object classification. In the real world there are cases where the identity of an object is ambiguous due to the noise in the measurements based on which the classification should be made. It is helpful to reduce the ambiguity by utilizing extra information referred to as context, which in our case is the identities of the accompanying objects. This technique is applied to white blood cell classification. Comparisons are made against "no context" approach, which demonstrates the superior classification performance achieved by using context. In our particular application, it significantly reduces false alarm rate and thus greatly reduces the cost due to expensive clinical tests.
We address the problem of CMOS cell width minimization in the general two-dimensional (2-D) layout style and propose a novel technique based on integer linear programming (ILP) to solve it exactly. We formulate a 0-1 ...
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ISBN:
(纸本)9780818675973
We address the problem of CMOS cell width minimization in the general two-dimensional (2-D) layout style and propose a novel technique based on integer linear programming (ILP) to solve it exactly. We formulate a 0-1 ILP model whose solution minimizes cell width along with the routing complexity across the diffusion rows. We present experimental results that evaluate the performance of two ILP solvers that have very different solution methods, and assess the effect of the number of rows on cell width. Run-times for optimal layouts are in seconds for cells with up to 20 transistors. For larger cells, we propose a practical circuit pre-processing scheme that dramatically reduces the run time with little or no loss in optimality.
This paper deals with the fault-tolerant control problem under nonlinear boiler systems with noise and disturbance. MCMBPC (Multivariable Constrained Model-Based Predictive Controller) proposed by Wilkinson et al . is...
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This paper deals with the fault-tolerant control problem under nonlinear boiler systems with noise and disturbance. MCMBPC (Multivariable Constrained Model-Based Predictive Controller) proposed by Wilkinson et al . is used and modified in this paper in order to be applied to nonlinear boiler systems. Fault-tolerant control scheme combining MCMBPC with a fault detection method based on the unknown input observer is proposed. The fault-tolerant controller proposed is shown, via simulation, to have acceptable tracking performance even under some faults of input valves in the boiler system.
This paper describes work in progress on the design and development of a prototype simulator for minimally invasive otolaryngology surgical training. The anatomy of the paranasal sinuses is geometrically complex and d...
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We present a compositional encoding of the γ-calculus into the π-calculus. The former, used in the Oz semantics, is a recent small language with equational constraints over logical variables;the latter is a basic ca...
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This paper presents an approach to the assembly sequence planning problem based on a ''plan reuse'' philosophy. Most of assembly planning research in the past has attempted to completely plan each prob...
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This paper presents an approach to the assembly sequence planning problem based on a ''plan reuse'' philosophy. Most of assembly planning research in the past has attempted to completely plan each problem from scratch, This research shows that stored cases of basic assembly configurations can be applied to a given assembly problem. It is observed that the number of such basic assembly configurations is quite small, In the first phase of planning (EVALUATOR phase), the assembly is divided into a number of constituent configurations, which are called ''loops.'' These act as subgoals in its search for solutions (RETRIEVER phase). Plans retrieved for all the subgoals are fused into a set of plans that are consistent with the constraints implied by each plan (MODIFIER and COMPOSITER phases), Application specific constraints on the assembly are explicitly handled in the final phase of planning (POSTPROCESSOR phase).
As the amount of information in the world is steadily increasing, there is a growing demand for tools for analysing the information. In this paper we investigate the problem of data mining, that is, constructing decis...
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A clustering-based approach to the separation of text from mixed text/graphics documents is presented. The approach starts from the grouping of connected components. Clustering is employed at three critical stages to ...
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We show that every piecewise linear classifier can be constructed as a three-layer network of linear decision functions. We define neural modeling as the replacement and subsequent training of each of these linear dec...
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