开课单位--麦格理大学
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1Correlation Matters: Multi-scale Fine-grained Contextual Information Extraction for Hepatic Tumor Segmentation[相关性问题:用于肝肿瘤分割的多尺度细粒度上下文信息提取]
Shuchao Pang(麦格理大学) Correlation Matters: Multi-scale Fine-grained Contextual Information Extraction for Hepatic Tumor Segmentation
热度:147
Shuchao Pang(麦格理大学) Correlation Matters: Multi-scale Fine-grained Contextual Information Extraction for Hepatic Tumor Segmentation
热度:147
2Synergies in learning words and their referents[词汇及其指称词学习中的协同作用]
Mark Johnson(麦格理大学) This paper presents Bayesian non-parametric models that simultaneously learn to segment words from phoneme strings and learn the referents of some of ...
热度:111
Mark Johnson(麦格理大学) This paper presents Bayesian non-parametric models that simultaneously learn to segment words from phoneme strings and learn the referents of some of ...
热度:111
3Synergies in learning words and their referents[学习词汇及其参考语的协同效应]
Mark Johnson(麦格理大学) This paper presents Bayesian non-parametric models that simultaneously learn to segment words from phoneme strings and learn the referents of some of ...
热度:129
Mark Johnson(麦格理大学) This paper presents Bayesian non-parametric models that simultaneously learn to segment words from phoneme strings and learn the referents of some of ...
热度:129
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