ICA 2011 Konferansı

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Differential ICA

As an alternative to the conventional Hebb-type unsupervised learning, differential learning was studied in the domain of Hebb’s rule [1] and decorrelation [2]. In this paper we present an ICA algorithm which employs differential learning, thus named as differential ICA. We derive a differential ICA algorithm in the framework of maximum likelihood estimation and random walk model. Algorithm der...

متن کامل

Recursive ICA

Independent Component Analysis (ICA) is a popular method for extracting independent features from visual data. However, as a fundamentally linear technique, there is always nonlinear residual redundancy that is not captured by ICA. Hence there have been many attempts to try to create a hierarchical version of ICA, but so far none of the approaches have a natural way to apply them more than once...

متن کامل

ICA 2010 paper

In this paper, a review of several features of the acoustic vector field will be presented. The theoretical foundation for the acoustic energy flow will be used to describe the concepts of the active and reactive components of the complex acoustic intensity field. Recently established phenomenology associated with the flow of acoustic intensity near planar boundaries via the visualization of st...

متن کامل

Factor Rotation and Ica

Similarities and distinctions have been pointed out between ICA and traditional multivariate methods such as factor analysis, principal component analysis and projection pursuit. In this paper, a new important connection between ICA and traditional factor analysis is made. The key of the connection is “factor rotation.”

متن کامل

Eliminating indeterminacy in ICA

This paper presents a method to eliminate inherent indeterminacy of permutation and dilation existing in the classical independent component analysis (ICA). The method incorporates additional requirements or a priori information as constraints in the ICA contrast function. We illustrate how this approach sorts independent components (ICs) according to some statistic and normalizes the demixing ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: İletişim: Araştırmaları Dergisi

سال: 2007

ISSN: 1303-7900

DOI: 10.1501/iltaras_0000000106