BICA: a Boolean independent component analysis algorithm

被引：0

作者：

Apolloni, B ^{[1
]}

Malchiodi, D ^{[1
]}

Brega, A ^{[1
]}

机构：

[1] Univ Milan, Dipartimento Sci Informaz, I-20135 Milan, Italy

来源：

HIS 2005: 5th International Conference on Hybrid Intelligent Systems, Proceedings | 2005年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We introduce a procedure for mapping general data records onto Boolean vectors, in the philosophy of ICA procedures. The task is demanded of a neural network with double ditty: i) extracting a compressed version of the data in a tight hidden layer of a self-associative multilayer architecture, and ii) mapping it onto Boolean vectors that optimize an entropic target. We prove that the components of these vectors are approximately independent and appreciate their ability to preserve data information in a statistically driven solution of benchmark classification problems.

引用

页码：131 / 136

页数：6

共 50 条

[31] A post nonlinear geometric algorithm for independent component analysis [J].

Nguyen, TV ;

Patra, JC ;

Das, A .

DIGITAL SIGNAL PROCESSING, 2005, 15 (03) :276-294

[32] Image Denoising Algorithm Based on Independent Component Analysis [J].

Li, Hong-yan ;

Ren, Guang-long ;

Xiao, Bao-jin .

2009 WRI WORLD CONGRESS ON SOFTWARE ENGINEERING, VOL 4, PROCEEDINGS, 2009, :465-469

[33] Image fusion algorithm based on independent component analysis [J].

College of Education Technology, Capital Normal University, Beijing 100037, China ;

不详 ;

不详 .

Guangdian Gongcheng, 2007, 6 (82-87)

[34] Algorithm of independent component analysis and its application in the analysis of exchange rate [J].

Department of Pattern Recognition and Intelligence System, Xiamen University, Xiamen 361005, China .

Harbin Gongcheng Daxue Xuebao, 2006, SUPPL. (601-606)

[35] Evolutionary algorithm using mutual information for independent component analysis [J].

Rojas, F ;

Puntonet, CG ;

Alvarez, MR ;

Rojas, I .

ARTIFICIAL NEURAL NETS PROBLEM SOLVING METHODS, PT II, 2003, 2687 :233-240

[36] A novel gene mapping algorithm based on independent component analysis [J].

Dawy, Z ;

Sarkis, M ;

Hagenauer, J ;

Mueller, JC .

2005 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1-5: SPEECH PROCESSING, 2005, :381-384

[37] Multiplicative Newton-like algorithm and independent component analysis [J].

Akuzawa, T .

IJCNN 2000: PROCEEDINGS OF THE IEEE-INNS-ENNS INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOL IV, 2000, :79-82

[38] An Improved Multiplicative Updating Algorithm for Nonnegative Independent Component Analysis [J].

Li, Hui ;

Shen, Yue-hong ;

Wang, Jian-gong .

ETRI JOURNAL, 2013, 35 (02) :193-199

[39] Novel Fast Confluence Adaptive Algorithm for Independent Component Analysis [J].

Ranjith, Jayasanthi ;

Muniraj, N. J. R. .

2013 INTERNATIONAL CONFERENCE ON OPTICAL IMAGING SENSOR AND SECURITY (ICOSS 2013), 2013,

[40] Novel algorithm for independent component analysis with flexible score functions [J].

Wang, FS ;

Li, HW ;

Li, R ;

Shen, YT .

2004 7TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, VOLS 1-3, 2004, :132-135

← 1 2 3 4 5 →