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Article
Open AccessMulti-dimensional classification: paradigm, algorithms and beyond
Multi-dimensional classification (MDC) aims at learning from objects where each of them is represented by a single instance while associated with multiple class variables. In recent years, this practical learn...
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Article
Towards exploiting linear regression for multi-class/multi-label classification: an empirical analysis
Regression and classification are the two main learning tasks in supervised learning, and both of them can be solved by learning a hyperplane from training samples. However, the hyperplane in regression task a...
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Article
Influence of the deformation sequence on the shape accuracy of multi-point forming
Multi-point forming with individually controlled force–displacement (MPF-ICFD) is a novel multi-point forming process with characteristics of good deformation uniformity and high forming accuracy. The process ...
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Article
Learning label-specific features for decomposition-based multi-class classification
Multi-class classification can be solved by decomposing it into a set of binary classification problems according to some encoding rules, e.g., one-vs-one, one-vs-rest, error-correcting output codes. Existing ...
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Article
Springback behavior of cylindrical shells during multi-point forming with individually controlled force–displacement
Springback is a serious problem in traditional multi-point forming (MPF) process, which affects its application in production. A new MPF process was invented to solve the springback problem in traditional MPF....
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Article
Deformation characteristics and forming force limits of multi-point forming with individually controlled force–displacement
To solve the problem of springback in traditional multi-point forming (MPF), a new multi-point forming process, namely, multi-point forming with individually controlled force–displacement (MPF-ICFD), is propos...
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Article
Open AccessMulti-dimensional Classification via Selective Feature Augmentation
In multi-dimensional classification (MDC), the semantics of objects are characterized by multiple class spaces from different dimensions. Most MDC approaches try to explicitly model the dependencies among clas...
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Article
Multi-dimensional classification via stacked dependency exploitation
Multi-dimensional classification (MDC) aims to build classification models for multiple heterogenous class spaces simultaneously, where each class space characterizes the semantics of an object w.r.t. one spec...
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Article
Deformation behavior of saddle surface part during multi-point forming under normally full constraint condition
In order to solve the problem of wrinkling in traditional multi-point forming (MPF), a new multi-point forming process, namely multi-point forming with individually controlled force-displacement (MPF-ICFD), wa...
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Article
Shape accuracy analysis of multi-point forming process for sheet metal under normal full constrained conditions
In order to study the shape accuracy of multi-point forming (MPF) process for sheet metal under normal full constrained conditions, the in-depth analysis of shape accuracy of workpieces in multi-point forming ...
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Article
New process of multi-point forming with individually controlled force-displacement and mechanism of inhibiting springback
In this paper, a new process of multi-point forming with individually controlled force-displacement (MPF-ICFD) is presented to reduce the springback in the traditional multi-point forming (MPF). An experimenta...
