2012 IEEE International Workshop on Machine Learning for Signal Processing最新文献_第10页

Redundant time-frequency marginals for chirplet decomposition 啁啾分解的冗余时频边际

2012 IEEE International Workshop on Machine Learning for Signal Processing Pub Date : 2012-11-12 DOI: 10.1109/MLSP.2012.6349775

L. Weruaga

引用次数: 3

Trading approximation quality versus sparsity within incremental automatic relevance determination frameworks 在增量自动相关性确定框架中交易近似质量与稀疏性

2012 IEEE International Workshop on Machine Learning for Signal Processing Pub Date : 2012-09-23 DOI: 10.1109/MLSP.2012.6349805

D. Shutin, Thomas Buchgraber

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引用次数: 3

Graphical methods for inequality constraints in marginalized DAGs 边缘dag不等式约束的图解方法

2012 IEEE International Workshop on Machine Learning for Signal Processing Pub Date : 2012-09-13 DOI: 10.1109/MLSP.2012.6349796

R. Evans

引用次数: 43

Stochastic unfolding 随机展开

2012 IEEE International Workshop on Machine Learning for Signal Processing Pub Date : 2012-09-01 DOI: 10.1109/MLSP.2012.6349713

Ke Sun, E. Bruno, S. Marchand-Maillet

引用次数: 8

Sparse spectral analysis of atrial fibrillation electrograms 房颤心电图稀疏谱分析

2012 IEEE International Workshop on Machine Learning for Signal Processing Pub Date : 2012-09-01 DOI: 10.1109/MLSP.2012.6349721

S. Monzón, T. Trigano, D. Luengo, Antonio Artés-Rodríguez

引用次数: 14

Fast design of efficient dictionaries for sparse representations 稀疏表示的高效字典的快速设计

2012 IEEE International Workshop on Machine Learning for Signal Processing Pub Date : 2012-09-01 DOI: 10.1109/MLSP.2012.6349795

Cristian Rusu

引用次数: 4

Probabilistic interpolative decomposition 概率插值分解

2012 IEEE International Workshop on Machine Learning for Signal Processing Pub Date : 2012-09-01 DOI: 10.1109/MLSP.2012.6349798

Ismail Ari, A. Cemgil, L. Akarun

{"title":"Probabilistic interpolative decomposition","authors":"Ismail Ari, A. Cemgil, L. Akarun","doi":"10.1109/MLSP.2012.6349798","DOIUrl":"https://doi.org/10.1109/MLSP.2012.6349798","url":null,"abstract":"Interpolative decomposition (ID) is a low-rank matrix decomposition where the data matrix is expressed via a sub-set of its own columns. In this work, we propose a novel probabilistic method for ID where it is expressed as a statistical model within a Bayesian framework. The proposed method considerably differs from other ID methods in the literature: It handles the model selection automatically and enables the construction of problem-specific interpolative decompositions. We derive the analytical solution for the normal distribution and we provide a numerical solution for the generic case. Simulation results on synthetic data are provided to illustrate that the method converges to the true decomposition, independent of the initialization; and it can successfully handle noise. In addition, we apply probabilistic ID to the problem of automatic polyphonic music transcription to extract important information from a huge dictionary of spectrum instances. We supply comparative results with the other proposed techniques in the literature and show that it performs better. Probabilistic interpolative decomposition serves as a promising feature selection and de-noising tool to be exploited in big data problems.","PeriodicalId":262601,"journal":{"name":"2012 IEEE International Workshop on Machine Learning for Signal Processing","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127727802","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: 5

Tree-structured expectation propagation for LDPC decoding over the AWGN channel AWGN信道上LDPC解码的树结构期望传播

2012 IEEE International Workshop on Machine Learning for Signal Processing Pub Date : 2012-09-01 DOI: 10.1109/MLSP.2012.6349716

Luis Salamanca, J. J. Murillo-Fuentes, P. Olmos, F. Pérez-Cruz

引用次数: 2

Online regularized discriminant analysis 在线正则化判别分析

2012 IEEE International Workshop on Machine Learning for Signal Processing Pub Date : 2012-09-01 DOI: 10.1109/MLSP.2012.6349761

U. Orhan, Ang Li, Deniz Erdoğmuş

引用次数: 0

A randomwalk based model incorporating social information for recommendations 基于随机漫步的模型，结合社会信息进行推荐

2012 IEEE International Workshop on Machine Learning for Signal Processing Pub Date : 2012-08-03 DOI: 10.1109/MLSP.2012.6349732

Shang Shang, S. Kulkarni, P. Cuff, Pan Hui

引用次数: 29