Xi'an Drum Music is a traditional form of Chinese music and its notes are recorded by Chinese Characters. Because Xi'an Drum Music is composed and translated by the elder musicians, Xi'an Drum Music become...
详细信息
ISBN:
(纸本)9789881563804
Xi'an Drum Music is a traditional form of Chinese music and its notes are recorded by Chinese Characters. Because Xi'an Drum Music is composed and translated by the elder musicians, Xi'an Drum Music becomes difficult to be protected. In this article, we use sparse coding and compressed coding to transfer the Chinese Character recording to genre and lyrics of Xi'an Drum Music. Based on our dataset of Xi'an Drum Music, we set up a method to generate Xi'an Drum Music similar to Huffman coding, a model named Xi'an Drum Music Generation via Variational Autoencoder (DMGVAE) and the accuracy of Xi'an Drum Music generation increases to 0.73. compressed coding on Xi'an Drum Music shows a novel method to generate Xi'an Drum Music by compressed format, making potential application for generating the sparse traditional Chinese Music such as Xi'an Drum Music.
Xi’an Drum Music is a traditional form of Chinese music and its notes are recorded by Chinese *** Xi’an Drum Music is composed and translated by the elder musicians,Xi’an Drum Music becomes difficult to be *** this...
详细信息
Xi’an Drum Music is a traditional form of Chinese music and its notes are recorded by Chinese *** Xi’an Drum Music is composed and translated by the elder musicians,Xi’an Drum Music becomes difficult to be *** this article,we use sparse coding and compressed coding to transfer the Chinese Character recording to genre and lyrics of Xi’ an Drum *** on our dataset of Xi’an Drum Music,we set up a method to generate Xi’ an Drum Music similar to Huffman coding,a model named Xi’an Drum Music Generation via Variational Autoencoder（DMGVAE） and the accuracy of Xi’ an Drum Music generation increases to *** coding on Xi’an Drum Music shows a novel method to generate Xi’ an Drum Music by compressed format,making potential application for generating the sparse traditional Chinese Music such as Xi’an Drum Music.
Particle swarm optimization (PSO) is a popular method for feature selection. However, when dealing with large-scale features, PSO faces the challenges of poor search performance and long running time. In addition, a s...
详细信息
ISBN:
(纸本)9789811945465;9789811945458
Particle swarm optimization (PSO) is a popular method for feature selection. However, when dealing with large-scale features, PSO faces the challenges of poor search performance and long running time. In addition, a suitable representation for particles to deal with the discrete binary optimization problem like the feature selection is still in great need. This paper proposes a PSO algorithm for large-scale feature selection problems named compressed-coding PSO (CCPSO). It uses the N-base encoding method for the representation of particles and designs a particle update mechanism based on the Hamming distance, which can be performed in the discrete space. It also proposes a local search strategy to dynamically shorten the length of particles, thus reducing the search space. The experimental results showthat CCPSO performswell for large-scale feature selection problems. The solutions obtained by CCPSO contain small feature subsets and have an excellent performance in classification problems.
We present an approach for generating a sort of fractal graphs by a simpleprobabilistic logic neuron network and show that the graphs can be representedby a set of compressed codings. An algorithm for quickly finding ...
详细信息
We present an approach for generating a sort of fractal graphs by a simpleprobabilistic logic neuron network and show that the graphs can be representedby a set of compressed codings. An algorithm for quickly finding the codings,i.e., recognizing the corresponding graphs, is given. The codings are shown tobe optimal. The results above possibly give us the clue for studying imagecompression and pattern recognition.
Data explosion and information redundancy are the main characteristics of the era of big data. Digging out valuable information from mass data is the premise of efficient information processing, which is a key technol...
详细信息
ISBN:
(纸本)9781510600546
Data explosion and information redundancy are the main characteristics of the era of big data. Digging out valuable information from mass data is the premise of efficient information processing, which is a key technology in the area of object recognition with mass feature database. In the area of large scale image processing, both of the massive image data and the image features of high-dimension take great challenges to object recognition and information retrieval. Similar with big data, the large scale image feature database, which contains extensive quantity of information redundancy, can also be quantitatively represented by finite clustering models without degrading recognition performance. Inspired by the ideas of product quantization and high dimensional feature division, a data compression method based on recursive self-organizing mapping (RSOM) algorithm is proposed in this paper.
暂无评论