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Independent Process Analysis without A Priori Dimensional Information [article]

Barnabas Poczos, Zoltan Szabo, Melinda Kiszlinger, Andras Lorincz
2007 arXiv   pre-print
Recently, several algorithms have been proposed for independent subspace analysis where hidden variables are i.i.d. processes.  ...  Central to our paper is that we introduce a cascade of algorithms, which aims to solve these tasks without previous knowledge about the number and the dimensions of the hidden processes.  ...  Introduction Independent Subspace Analysis (ISA), also known as Multidimensional Independent Component Analysis [1] , is a generalization of Independent Component Analysis (ICA).  ... 
arXiv:math/0703612v1 fatcat:n5rcghw4f5e7novk3euzferlzi

Independent Process Analysis Without a Priori Dimensional Information [chapter]

Barnabás Póczos, Zoltán Szabó, Melinda Kiszlinger, András Lőrincz
Independent Component Analysis and Signal Separation  
Recently, several algorithms have been proposed for independent subspace analysis where hidden variables are i.i.d. processes.  ...  Central to our paper is that we introduce a cascade of algorithms, which aims to solve these tasks without previous knowledge about the number and the dimensions of the hidden processes.  ...  Introduction Independent Subspace Analysis (ISA) [1] is a generalization of Independent Component Analysis (ICA).  ... 
doi:10.1007/978-3-540-74494-8_32 dblp:conf/ica/PoczosSKL07 fatcat:2ofudvttyrdhdm5kpkwhr2dnpu

Independent Component Analysis of Spectral Absorbance Image in Human Skin

Norimichi Tsumura, Hideaki Haneishi, Yoichi Miyake
2000 Optical Review  
The qualitative information and spatial distribution of the pigments can be extracted by the independent component analysis.  ...  The image of spectral absorbance in human skin is analyzed by independent component analysis. The spectral absorbance image is estimated from an image with red, green, and blue channels.  ...  ICA is a technique that extracts the original signals from mixtures of many independent sources without a priori information on the sources or the process of the mixture.  ... 
doi:10.1007/s10043-000-0479-x fatcat:cnuc7zlt6vbfzg4nizzb5x75f4

Features Of Using The Modern Software For Thermal Field 3D Modelling

V. Fourman, D. Malytsky
2018 Proceedings of X International Scientific and Practical Conference "Electronics and Information Technologies"  
Interrelation of tectonic activity with a thermal stream, stratygraphy and lithology of Beregovo district of Transcarpathian is examined.  ...  Three-dimensional models of thermal field, stratigraphic and lithologic ones ware created Index Terms-thermal stream, tectonic activity, design, environment  ...  is adequate to the a priori geological information and the observed field.  ... 
doi:10.30970/elit2018.b22 fatcat:xqbgzhy2ojgktjid3omahsoh3m

On the use of ICA for hyperspectral image analysis

A. Villa, J. Chanussot, C. Jutten, J. A. Benediktsson, S. Moussaoui
2009 2009 IEEE International Geoscience and Remote Sensing Symposium  
Independent component analysis (ICA) is a very popular method that has shown success in blind source separation, feature extraction and unsupervised recognition.  ...  In a second part, the use of ICA for dimensionality reduction is studied in the frame of hyperspectral data classification.  ...  We propose the use of ICA as a pre-processing step for a Bayesian Positive Source Separation in order to reduce the computational load without penalizing the performances of this method.  ... 
doi:10.1109/igarss.2009.5417363 dblp:conf/igarss/VillaCJBM09 fatcat:vexpdrpkjvh3xcm3szf4fpel2q

Blind source separation techniques for percolation type leakage detection in dikes using fiber optic DTS signals

Amir A. Khan, Valeriu Vrabie, Guy D'Urso, Jérôme I. Mars, David D. Sampson
2008 19th International Conference on Optical Fibre Sensors  
Two independent component analysis algorithms, JADE and FastICA, assuming independence of sources, are tested to find the best solution for leakage detection.  ...  The use of DTS data to detect leakages in dikes necessitates some processing of this data.  ...  Blind source separation consists in recovering these unknown source signals without any a priori information about the sources or their mixing coefficients.  ... 
doi:10.1117/12.785995 fatcat:qyuaqlez55gthpulzjrundilya

Classification of hyperspectral images by using morphological attribute filters and Independent Component Analysis

Mauro Dalla Mura, Alberto Villa, Jon Atli Benediktsson, Jocelyn Chanussot, Lorenzo Bruzzone
2010 2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing  
In this paper, a technique based on Independent Component Analysis (ICA) and morphological attribute filters is presented for the classification of high geometrical resolution hyperspectral images.  ...  Moreover, a method for increasing the robustness of the analysis based on a decision fusion strategy is proposed.  ...  Due to the limitations of PCA when extracting the informative sources from the high dimensional data, in [4] , the authors proposed to perform an Independent Component Analysis (ICA) before the computation  ... 
doi:10.1109/whispers.2010.5594964 dblp:conf/whispers/MuraVBCB10 fatcat:ljo7dd7bdzc7jai4mjrx5jzgxu

On Receiver Design for Diffusion-Based Molecular Communication

Ling-San Meng, Ping-Cheng Yeh, Kwang-Cheng Chen, Ian F. Akyildiz
2014 IEEE Transactions on Signal Processing  
Numerical results indicate that the proposed signal processing technique followed by the one-shot detector achieves near-optimal throughput without the need of a priori information in both short-range  ...  For the detector design, both a low-complexity one-shot optimal detector for mutual information maximization and a near Maximum Likelihood (ML) sequence detector are proposed.  ...  without the need of a priori information over a wide range of system parameters of practical interest.  ... 
doi:10.1109/tsp.2014.2359644 fatcat:6jgfgfzzxzejvhxl7q424276fi

Maximum Entropy Principle, Equal Probability a Priori and Gibbs Paradox [article]

Hao Ge, Hong Qian
2011 arXiv   pre-print
However, applying the same MaxEnt method to grand canonical ensemble fails; while carefully following the classic approach based on Boltzmann's microcanonical equal probability a priori produces the correct  ...  We prove that information-theoretic maximum entropy (MaxEnt) approach to canonical ensemble is mathematically equivalent to the classic approach of Boltzmann, Gibbs and Darwin-Fowler.  ...  In the classic approach, the equal a priori probability of the entire microcanonical ensemble can be verified from such a uniform prior distribution of the independent subsystems without any constraint  ... 
arXiv:1105.4118v2 fatcat:fxyzidmhojgqpg5g7mt5r3pmcq

Conceptual Analysis, Dualism, and the Explanatory Gap

Ned Block, Robert Stalnaker
1999 Philosophical Review  
JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive.  ...  We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact support@jstor.org. .  ...  Without the help of a conceptual analysis, how might such an identity claim be justified?  ... 
doi:10.2307/2998259 fatcat:bf2fi4qxlvagzkhguntkhybujq

Individual decision processes in an assessment center

Craig J. Russell
1985 Journal of Applied Psychology  
Support was found for both a formal and informal method of arriving at an overall assessment rating (OAR).  ...  Past research has shown that assessment centers have accurately predicted managerial success in a number of organizations.  ...  The sample of dimensional ratings for the other 36 assessors were pooled for a betweenassessor factor analysis.  ... 
doi:10.1037//0021-9010.70.4.737 fatcat:x5q4bjewtjathb4viy4vwfzxbe

Individual decision processes in an assessment center

Craig J. Russell
1985 Journal of Applied Psychology  
Support was found for both a formal and informal method of arriving at an overall assessment rating (OAR).  ...  Past research has shown that assessment centers have accurately predicted managerial success in a number of organizations.  ...  The sample of dimensional ratings for the other 36 assessors were pooled for a betweenassessor factor analysis.  ... 
doi:10.1037/0021-9010.70.4.737 fatcat:oldgpdz74vdsvf6xhgiadjddem

Precoder-aided iterative detection assisted multilevel coding and three-dimensional EXIT-chart analysis

R.Y.S. Tee, S.X. Ng, L. Hanzo
2006 IEEE Wireless Communications and Networking Conference, 2006. WCNC 2006.  
A novel three-dimensional (3D) EXIT chart is developed for investigating the iterative behaviour of Multilevel Coding (MLC) invoking Multistage Decoding (MSD).  ...  The extrinsic information transfer characteristics of both the symbol-to-bit demapper used and those of the differentprotection constituent decoders suggest that potential improvements can be achieved  ...  Instead, each decoder D i processes the a priori knowledge in a parallel and independent manner. Hence, this potentially results in a reduction of the associated processing delay.  ... 
doi:10.1109/wcnc.2006.1696478 dblp:conf/wcnc/TeeNH06 fatcat:qrknlce3lzchboeifjngjzcbyq

Independent-component analysis of skin color image

Norimichi Tsumura, Hideaki Haneishi, Yoichi Miyake
1999 Optical Society of America. Journal A: Optics, Image Science, and Vision  
The spatial distributions of melanin and hemoglobin in human skin are separated by independent component analysis of skin color image.  ...  In this paper, the principle of independent component analysis is described and it is also shown that the components of melanin and hemoglobin from skin color image can be separated both theoretically  ...  Acknowledgement A part of this research was supported by Photographic Research Fund of Konica Imaging Foundation.  ... 
doi:10.1364/josaa.16.002169 pmid:10474894 fatcat:r4dp37t3dnda7nghybdlycnb7a

Detection and Identification of Camouflaged Targets using Hyperspectral and LiDAR data

Deepti Yadav, Manoj Kumar Arora, Kailash Chandra Tiwari, Jayanta Kumar Ghosh
2018 Defence Science Journal  
It narrows down the location of the potential camouflaged targets by detecting camouflaging net using Independent component analysis and spectral matching algorithms.  ...  Desired camouflaged target (set of three chairs as a target under a camouflaging net) has been resolved in three steps: First, hyperspectral data processing helps to detect the locations of potential camouflaged  ...  The work has been divided into two parts, first, detection of camouflaging material has been performed using spectral information from HSI data, which first has been pre-processed using independent component  ... 
doi:10.14429/dsj.68.12731 fatcat:y5u7shef4be6fpumdck4k3obyu
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