A meta-learning approach for selecting image segmentation algorithm

Aguiar, Gabriel Jonas; Mantovani, Rafael Gomes; Mastelini, Saulo Martiello; Carvalho, André C. P. L. F. de; Campos, Gabriel Fillipe Centini; Barbon, Sylvio

doi:10.1016/j.patrec.2019.10.018

Cited by 33 publications

(12 citation statements)

References 38 publications

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“…In Chinese word segmentationrelated technologies, in the 1990s, Professor Huang Changning from Tsinghua University put forward four difficult problems in Chinese word segmentation in view of the vague standard of Chinese word segmentation at that time and the challenges due to Chinese characteristics, namely, the segmentation specification of Chinese word segmentation, the master-subordinate relationship of understanding, and the disambiguation of Chinese of unregistered words. As a guide for Chinese natural language processing, the four problems proposed by Professor Huang Changning provided directions for later Chinese language processing researchers [7]. With the increasing application of the method based on neural statistics in the analysis of language vocabulary, this paper analyzes the related contents in this field [8].…”

Section: State Of the Artmentioning

confidence: 99%

The Application of Unsupervised Learning TF-IDF Algorithm in Word Segmentation of Ideological and Political Education

Chen

Zhuo

2022

Wireless Communications and Mobile Computing

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Word segmentation is an essential part of Chinese learning. It often plays a decisive role in the quality of language processing results. Its domain vocabulary has the advantages of fast birth of new words and wide coverage. Large vocabulary, which has caused great difficulties in word segmentation and follow-up work in the field. This paper designs and implements a system. The system builds a corpus based on domain literature, trains a word-level language model based on statistical ideas, and uses the Viterbi algorithm to obtain preliminary Chinese word segmentation results. The word optimization algorithm optimizes the preliminary. The system provides users with functions such as keyword extraction, word frequency statistics, and word cloud drawing for the word segmentation results, so as to realize Chinese word segmentation and text analysis of field documents. The experimental results show that building system based on the corresponding ideas has improved the text analysis efficiency, related research on documents and text processing in the field have a certain promotion effect.

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Section: State Of the Artmentioning

confidence: 99%

The Application of Unsupervised Learning TF-IDF Algorithm in Word Segmentation of Ideological and Political Education

Chen

Zhuo

2022

Wireless Communications and Mobile Computing

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“…Although meta-features can be used for other purposes, MtL is the main reason for their proposal, investigation and improvement. In learning from task properties, some examples found in the literature comprise: hyperparameter tuning [35][36][37]; prediction of meta-features values [38,39]; induction of abstract meta-features [40]; performance prediction [41,42]; recommendation of classification [15,43], clustering [44][45][46], data transformation [47], feature selection [18], image segmentation [48] and noise detection [49] algorithms.…”

Section: Meta-learningmentioning

confidence: 99%

Meta-features for meta-learning

Rívolli

García

Soares

et al. 2022

Knowledge-Based Systems

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“…People's demand for speech signal processing technology is growing every day as society and science and technology progress, and it has been vigorously developed, including speech coding, speech decoding, speech synthesis, speech recognition, speech enhancement, and so on. e AR (autoregressive) model is used in [17] to build a model of source signal separation that realizes the separation of single channel source signals. Pitch estimation is used to generate sound music templates in [18].…”

Section: Related Workmentioning

confidence: 99%

Research on the Whole Teaching of Vocal Music Course in University Music Performance Major Based on Multimedia Technology

Zheng

2022

Scientific Programming

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MT (multimedia technology) music teaching has changed the rigid, unitary, and boring teaching form of traditional music teaching, which has made a comprehensive breakthrough and impact on traditional university music education and has shown a brand-new teaching form to contemporary college students, greatly increasing their strong interest in learning music. In this paper, an objective evaluation method of vocal music quality based on the comparison of sound parameter characteristics is proposed by using the technology of sound signal parameter analysis and extraction. Through confidence measure, reliable data are selected for online adaptive updating of Gaussian mixture model, and the recognition results are smoothed to further remove the instantaneous mutation error. The main melody of singing is discriminated by fundamental frequency discrimination model. Experiments show that the overall accuracy rate of the main melody of vocal music extracted by this algorithm is 86.24%.

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A meta-learning approach for selecting image segmentation algorithm

Cited by 33 publications

References 38 publications

The Application of Unsupervised Learning TF-IDF Algorithm in Word Segmentation of Ideological and Political Education

The Application of Unsupervised Learning TF-IDF Algorithm in Word Segmentation of Ideological and Political Education

Meta-features for meta-learning

Research on the Whole Teaching of Vocal Music Course in University Music Performance Major Based on Multimedia Technology

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