Results 21 to 30 of about 24,615,903 (307)
Auxiliary variables for deformable models [PDF]
We present a mathematical formulation for curve and surface reconstruction algorithms by introduction of auxiliary variables. For deformable models and templates, two step iterative algorithms have been often used where, at each iteration, the model is first locally deformed according to the potential data attraction and then globally smoothed. We show
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A General Model of Auxiliary Processes in Manufacturing [PDF]
In all sizes of manufacturing enterprises, daily shop-floor activities include a number of tasks not directly related to the main production flow. These complementary activities concern, among others, recycling of used material, productive resource maintenance.
István Mezgár +3 more
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Auxiliary Template-Enhanced Generative Compatibility Modeling [PDF]
In recent years, there has been a growing interest in the fashion analysis (e.g., clothing matching) due to the huge economic value of the fashion industry. The essential problem is to model the compatibility between the complementary fashion items, such as the top and bottom in clothing matching.
Jinhuan Liu +5 more
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In order to give full attention to the auxiliary service capacity of the pumped storage power station, a multi-power optimal dispatch model considering the auxiliary service cost of the pumped storage power station was established, and the efficient ...
Jie Zhao +6 more
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Auxiliary potential in no-core shell-model calculations [PDF]
The Lee-Suzuki iteration method is used to include the folded diagrams in the calculation of the two-body effective interaction $v^{(2)}_{\rm eff}$ between two nucleons in a no-core model space. This effective interaction still depends upon the choice of single-particle basis utilized in the shell-model calculation.
Zheng, D. C. +3 more
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Auxiliary Objectives for Neural Error Detection Models [PDF]
We investigate the utility of different auxiliary objectives and training strategies within a neural sequence labeling approach to error detection in learner writing. Auxiliary costs provide the model with additional linguistic information, allowing it to learn general-purpose compositional features that can then be exploited for other objectives.
Marek Rei, Helen Yannakoudakis
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Model-Assisted Estimators with Auxiliary Functional Data
Summary: Few studies focus on the application of functional data to the field of design-based survey sampling. In this paper, the scalar-on-function regression model-assisted method is proposed to estimate the finite population means with auxiliary functional data information.
Liu, Chao, Zhang, Huiming, Yan, Jing
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Smooth and Probabilistic PARAFAC Model with Auxiliary Covariates
In immunological and clinical studies, matrix-valued time-series data clustering is increasingly popular. Researchers are interested in finding low-dimensional embedding of subjects based on potentially high-dimensional longitudinal features and investigating relationships between static clinical covariates and the embedding.
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Coupled Least Squares Identification Algorithms for Multivariate Output-Error Systems
This paper focuses on the recursive identification problems for a multivariate output-error system. By decomposing the system into several subsystems and by forming a coupled relationship between the parameter estimation vectors of the subsystems, two ...
Wu Huang, Feng Ding
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For the bilinear system with white noise, the difficulty of identification is that there exists the product term of the state and input in the system. To overcome this difficulty, we derive the input–output representation of a class of special bilinear ...
F. Ding +5 more
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