Novel high intrinsic dimensionality estimators

Author： Rozza A.   Lombardi G.   Ceruti C.   Casiraghi E.   Campadelli P.  

Publisher： Springer Publishing Company

ISSN： 0885-6125

Source： Machine Learning, Vol.89, Iss.1-2, 2012-10, pp. : 37-65

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

A Novel Approach for Ontology-Based Dimensionality Reduction for Web Text Document Classification

By  

International Journal of Software Innovation (IJSI), Vol. 5, Iss. 4, 2017-10 ,pp. : 44-58

IGI Global_journal

Access to resources Recommend Favorite

An adaptive and dynamic dimensionality reduction method for high-dimensional indexing

By Shen Heng  

The VLDB Journal, Vol. 16, Iss. 2, 2007-04 ,pp. : 219-234

Springer Publishing Company

Access to resources Recommend Favorite

cuGWAM: Genome-wide Association Multifactor Dimensionality reduction using CUDA-enabled high-performance graphics processing unit

By Kwon Min-Seok   Kim Kyunga   Lee Sungyoung   Park Taesung  

International Journal of Data Mining and Bioinformatics, Vol. 6, Iss. 5, 2012-09 ,pp. : 471-481

Inderscience Publishers

Access to resources Recommend Favorite

A novel and practicable on-chip adaptive lossless image compression scheme using intrinsic evolvable hardware

By He Jingsong  

Connection Science, Vol. 19, Iss. 4, 2007-12 ,pp. : 281-295

Taylor & Francis Ltd

Access to resources Recommend Favorite

On the spectral dimensionality of object colours

By Hardeberg Jon Y.  

Conference on Colour in Graphics, Imaging, and Vision, Vol. 2002, Iss. 1, 2002-01 ,pp. : 480-485

Society for Imaging Science and Technology

Access to resources Recommend Favorite