2012 IEEE International Workshop on Machine Learning for Signal Processing最新文献_第2页

Exemplar-based image inpainting: Fast priority and coherent nearest neighbor search 基于范例的图像绘制:快速优先级和连贯的最近邻搜索

2012 IEEE International Workshop on Machine Learning for Signal Processing Pub Date : 2012-11-12 DOI: 10.1109/MLSP.2012.6349810

R. Martínez-Noriega, A. Roumy, G. Blanchard

引用次数: 50

On surrogate supervision multiview learning 论代理监督多视角学习

2012 IEEE International Workshop on Machine Learning for Signal Processing Pub Date : 2012-11-12 DOI: 10.1109/MLSP.2012.6349759

Gaole Jin, R. Raich

引用次数: 9

Local distance metric learning for efficient conformal predictors 高效保形预测器的局部距离度量学习

2012 IEEE International Workshop on Machine Learning for Signal Processing Pub Date : 2012-11-12 DOI: 10.1109/MLSP.2012.6349813

M. Pekala, Ashley J. Llorens, I-J. Wang

引用次数: 2

Noise-robust digit recognition with exemplar-based sparse representations of variable length 基于变长度样本稀疏表示的抗噪数字识别

2012 IEEE International Workshop on Machine Learning for Signal Processing Pub Date : 2012-11-12 DOI: 10.1109/MLSP.2012.6349738

Emre Yilmaz, J. Gemmeke, Dirk Van Compernolle, H. V. hamme

引用次数: 10

Long term human activity recognition with automatic orientation estimation 具有自动方向估计的长期人类活动识别

2012 IEEE International Workshop on Machine Learning for Signal Processing Pub Date : 2012-11-12 DOI: 10.1109/MLSP.2012.6349789

Blanca Florentino-Liaño, N. O’Mahony, Antonio Artés-Rodríguez

引用次数: 2

Differential edit distance as a countermeasure to video scene ambiguity 差分编辑距离作为视频场景模糊的对策

2012 IEEE International Workshop on Machine Learning for Signal Processing Pub Date : 2012-11-12 DOI: 10.1109/MLSP.2012.6349722

P. Sidiropoulos, V. Mezaris, Y. Kompatsiaris

引用次数: 1

Stereophonic spectrogram segmentation using Markov random fields 利用马尔科夫随机场的立体声频谱图分割

2012 IEEE International Workshop on Machine Learning for Signal Processing Pub Date : 2012-11-12 DOI: 10.1109/MLSP.2012.6349754

Minje Kim, P. Smaragdis, Glenn G. Ko, Rob A. Rutenbar

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引用次数: 16

Nonnegative matrix factorization based self-taught learning with application to music genre classification 基于非负矩阵分解的自学学习及其在音乐类型分类中的应用

2012 IEEE International Workshop on Machine Learning for Signal Processing Pub Date : 2012-11-12 DOI: 10.1109/MLSP.2012.6349719

K. Markov, T. Matsui

{"title":"Nonnegative matrix factorization based self-taught learning with application to music genre classification","authors":"K. Markov, T. Matsui","doi":"10.1109/MLSP.2012.6349719","DOIUrl":"https://doi.org/10.1109/MLSP.2012.6349719","url":null,"abstract":"Availability of large amounts of raw unlabeled data has sparked the recent surge in semi-supervised learning research. In most works, however, it is assumed that labeled and unlabeled data come from the same distribution. This restriction is removed in the self-taught learning approach where unlabeled data can be different, but nevertheless have similar structure. First, a representation is learned from the unlabeled data via non-negative matrix factorization (NMF) and then it is applied to the labeled data used for classification. In this work, we implemented this method for the music genre classification task using two different databases: one as unlabeled data pool and the other for supervised classifier training. Music pieces come from 10 and 6 genres for each database respectively, while only one genre is common for both of them. Results from wide variety of experimental settings show that the self-taught learning method improves the classification rate when the amount of labeled data is small and, more interestingly, that consistent improvement can be achieved for a wide range of unlabeled data sizes.","PeriodicalId":262601,"journal":{"name":"2012 IEEE International Workshop on Machine Learning for Signal Processing","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115181860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

A modified version of the MEXICO algorithm for performing ICA over Galois fields 用于在伽罗瓦域上执行ICA的MEXICO算法的修改版本

2012 IEEE International Workshop on Machine Learning for Signal Processing Pub Date : 2012-11-12 DOI: 10.1109/MLSP.2012.6349741

D. G. Silva, Everton Z. Nadalin, R. Attux, J. Filho

引用次数: 3

A novel adaptive Nyström approximation 一种新的自适应Nyström近似

2012 IEEE International Workshop on Machine Learning for Signal Processing Pub Date : 2012-11-12 DOI: 10.1109/MLSP.2012.6349777

Lingyan Sheng, Antonio Ortega

引用次数: 1