2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718)最新文献_第4页

On-line Thai handwritten character recognition using hidden Markov model and fuzzy logic 基于隐马尔可夫模型和模糊逻辑的在线泰文手写字符识别

2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718) Pub Date : 2003-09-17 DOI: 10.1109/NNSP.2003.1318053

R. Budsayaplakorn, W. Asdornwised, S. Jitapunkul

引用次数: 17

Variational expectation-maximization training for Gaussian networks 高斯网络的变分期望最大化训练

2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718) Pub Date : 2003-09-17 DOI: 10.1109/NNSP.2003.1318033

N. Nasios, A. Bors

引用次数: 9

Subspaces of text discrimination with application to biological literature 文本子空间辨析及其在生物文献中的应用

2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718) Pub Date : 2003-09-17 DOI: 10.1109/NNSP.2003.1317999

Mahesan Suwannaroj, M. Niranjan

{"title":"Subspaces of text discrimination with application to biological literature","authors":"Mahesan Suwannaroj, M. Niranjan","doi":"10.1109/NNSP.2003.1317999","DOIUrl":"https://doi.org/10.1109/NNSP.2003.1317999","url":null,"abstract":"This paper is about the application of statistical pattern recognition techniques to the classification of text with the objective of retrieving documents relevant for the construction of gene networks. We start from the usual practice of representing a document, electronically available abstracts of scientific papers in this case, as a high dimensional vector of term of occurrences. We consider the problem of retrieving documents corresponding to the metabolic pathway of the organism yeast, Saccharomyces Cerevisiae, using a trained classifier as filter. We use support vector machines (SVMs) as classifiers and compare techniques for reducing the dimensionality of the problem: latent semantic kernels (LSK) and sequential forward selection (SFS). In order to deal with the issue of having only a small set of accurately labelled documents, we used the approach of transductive inference. In this case, LSK leads to a subspace formed as a linear combination of features (terms in the lexicon) while SFS selects a subset of the dimension. We find, for this problem, that the discriminant information appears to lie in a subspace, which is very small in dimensionality compared to that of the original formulation. By matching against the gene ontology (GO) database, we further find that the selection process (SFS) picks out the discriminant terms that are of biological significance for this problem.","PeriodicalId":315958,"journal":{"name":"2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125181206","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: 1

Information cut and information forces for clustering 聚类的信息切割和信息力

2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718) Pub Date : 2003-09-17 DOI: 10.1109/NNSP.2003.1318045

R. Jenssen, J. Príncipe, T. Eltoft

{"title":"Information cut and information forces for clustering","authors":"R. Jenssen, J. Príncipe, T. Eltoft","doi":"10.1109/NNSP.2003.1318045","DOIUrl":"https://doi.org/10.1109/NNSP.2003.1318045","url":null,"abstract":"We define an information-theoretic divergence measure between probability density functions (pdfs) that has a deep connection to the cut in graph-theory. This connection is revealed when the pdfs are estimated by the Parzen method with a Gaussian kernel. We refer to our divergence measure as the information cut. The information cut provides us with a theoretically sound criterion for cluster evaluation. In this paper we show that it can be used to merge clusters. The initial clusters are obtained based on the related concept of information forces. We create directed trees by selecting the predecessor of a node (pattern) according to the direction of the information force acting on the pattern. Each directed tree corresponds to a cluster, hence enabling us to obtain an initial partitioning of the data set. Subsequently, we utilize the information cut as a cluster evaluation function to merge clusters until the predefined number of clusters is reached. We demonstrate the performance of our novel information-theoretic clustering method when applied to both artificially created data and real data, with encouraging results.","PeriodicalId":315958,"journal":{"name":"2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718)","volume":"11 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126319684","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: 13

Loopy belief propagation and probabilistic image processing 循环信念传播与概率图像处理

2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718) Pub Date : 2003-09-17 DOI: 10.1109/NNSP.2003.1318032

Kazuyuki Tanaka, Jun-ichi Inoue, D. Titterington

引用次数: 8

Separate-variable adaptive combination of LMS adaptive filters for plant identification LMS自适应滤波器在植物识别中的分离变量自适应组合

2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718) Pub Date : 2003-09-17 DOI: 10.1109/NNSP.2003.1318023

J. Arenas-García, V. Gómez-Verdejo, M. Martínez‐Ramón, A. Figueiras-Vidal

引用次数: 27

An effective reject rule for reliability improvement in bank note neuro-classifiers 一种提高钞票神经分类器可靠性的有效拒绝规则

2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718) Pub Date : 2003-09-17 DOI: 10.1109/NNSP.2003.1318050

A. Ahmadi, S. Omatu, T. Kosaka

引用次数: 1

A neural network method to improve prediction of protein-protein interaction sites in heterocomplexes 一种改进异质复合物中蛋白质-蛋白质相互作用位点预测的神经网络方法

2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718) Pub Date : 2003-09-17 DOI: 10.1109/NNSP.2003.1318002

P. Fariselli, A. Zauli, I. Rossi, M. Finelli, P. Martelli, R. Casadio

引用次数: 13

A variational approach to robust Bayesian interpolation 鲁棒贝叶斯插值的变分方法

2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718) Pub Date : 2003-09-17 DOI: 10.1109/NNSP.2003.1318022

Michael E. Tipping, Neil D. Lawrence

引用次数: 20

An on-line algorithm for blind source extraction based on nonlinear prediction approach 基于非线性预测方法的在线盲源提取算法

2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718) Pub Date : 2003-09-17 DOI: 10.1109/NNSP.2003.1318042

D. Mandic, A. Cichocki, U. Manmontri

引用次数: 3