英语翻译1、aswe discuss in thefollowing section2、this can be achi
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英语翻译
1、aswe discuss in thefollowing section
2、this can be achievedif wealready have a hierarchical decomposition rather than as apost-processing stepwhere the relevant information may not be readily available
3、the second benefit of ahierarchical decomposition is that it addresses some of theissues raised abovein expanding the set of recognizable object categories
4、for example,learningmodels of common parts and attributes,and sharing these learned models betweenobjects may allow us to learn better object models(especially when trainingdata is scarce
5、last,thehierarchicalapproach may present some opportunities for accelerating inferencewhen the number of object categories growslarge
6、for example,byeliminating unlikely object hypotheses while building upour understanding of ascene,the value space of object variables can besignificantly pruned
1、aswe discuss in thefollowing section
2、this can be achievedif wealready have a hierarchical decomposition rather than as apost-processing stepwhere the relevant information may not be readily available
3、the second benefit of ahierarchical decomposition is that it addresses some of theissues raised abovein expanding the set of recognizable object categories
4、for example,learningmodels of common parts and attributes,and sharing these learned models betweenobjects may allow us to learn better object models(especially when trainingdata is scarce
5、last,thehierarchicalapproach may present some opportunities for accelerating inferencewhen the number of object categories growslarge
6、for example,byeliminating unlikely object hypotheses while building upour understanding of ascene,the value space of object variables can besignificantly pruned
1,我们讨论在下面部分
2,这是可以做到,只要我们已经编写了一层次分解而不是作为后处理步骤,相关信息可能不是现成的
3、层次分解的第二个好处是,它解决了在上面提出扩大组识别的对象类别一些问题
4,例如,学习模型的常见零件和属性,和学习对象之间共享这些模型可能会让我们学习更好的对象模型(特别是当训练数据稀缺时
5、最后,当数量的对象类别增加,分层方法可能带来一些机遇促进推理
6,例如,减少可能的假设而建立对象的一个场景,我们理解的值空间对象变量可以大大削减
2,这是可以做到,只要我们已经编写了一层次分解而不是作为后处理步骤,相关信息可能不是现成的
3、层次分解的第二个好处是,它解决了在上面提出扩大组识别的对象类别一些问题
4,例如,学习模型的常见零件和属性,和学习对象之间共享这些模型可能会让我们学习更好的对象模型(特别是当训练数据稀缺时
5、最后,当数量的对象类别增加,分层方法可能带来一些机遇促进推理
6,例如,减少可能的假设而建立对象的一个场景,我们理解的值空间对象变量可以大大削减
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