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Signal dimensionality and the emergence of combinatorial structure
Signal spaces Artificial language experiments Linguistic modalities
2017/8/31
In language, a small number of meaningless building blocks can be combined into an unlimited set of meaningful utterances. This is known as combinatorial structure. One hypothesis for the initial emer...
Dimensionality Reduction for Speech Recognition Using Neighborhood Components Analysis
speech recognition acoustic modeling
2015/3/10
Dimensionality Reduction for Speech Recognition Using Neighborhood Components Analysis.
Language Recognition via Ivectors and Dimensionality Reduction
Language Recognition via Ivectors Dimensionality Reduction
2015/3/9
Language Recognition via Ivectors and Dimensionality Reduction.
Raising High-Degree Overlapped Character Bigrams into Trigrams for Dimensionality Reduction in Chinese Text Categorization（图）
Trigrams Dimensionality Reduction
2015/1/26
High dimensionality of feature space is a crucial obstacle for Automated Text Categorization. According to the characteristics of Chinese character N-grams, this paper reveals that there exists a kind...
Eliminating High-degree Biased Character Bigrams for Dimensionality Reduction in Chinese Text Categorization（图）
Character Bigrams Dimensionality Reduction
2015/1/26
High dimensionality of feature space is a main obstacle for Text Categorization (TC). In a candidate feature set consisting of Chinese character bigrams, there exist a number of bigrams which are high...