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Evaluation of the 2-Poisson model as a basis for using term frequency data in searching
1983
Proceedings of the 6th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '83
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The early work on the probabilistic models of retrieval assumed 1. ...
In other words, since TP model is the best known model of term frequency data, the question we wish to answer may be stated as: is it possible to obtain better performance by using TF? ...
of a term, which is present in a query, depending on the value of the term for searching. ...
doi:10.1145/511793.511806
dblp:conf/sigir/RaghavanSY83
fatcat:v7dedmgj4fbfdgiysf37kohymu
Characterization of real workloads of web search engines
2011
2011 IEEE International Symposium on Workload Characterization (IISWC)
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The second part of our study is to deploy the real query traces and three synthetic traces generated using probability models proposed by other researchers on a Nutch based search engine. ...
The first part of our study is to uncover the patterns hidden in the query traces by analyzing the variations, frequencies, and locality of query requests. ...
We released the web search engine plus the data and the workload trace as a benchmark for datacenter and cloud computing, named Search. ...
doi:10.1109/iiswc.2011.6114193
dblp:conf/iiswc/XiZJHWZSL11
fatcat:wnysb3bisfgphpq6vjhvtcgghq
Page 58 of Library & Information Science Abstracts Vol. , Issue 10
[page]
1990
Library & Information Science Abstracts
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The important conclusion is that despite the fact that the 2P model is extremely selective in its choice of indexing vocabulary for a data base, it still performs with the same effectiveness as the more ...
Proposes an architecture and data structures for a fuzzy query processor that uses a high level of abstraction and the data items of the data base records. ...
Page 50 of Library & Information Science Abstracts Vol. , Issue 6
[page]
1993
Library & Information Science Abstracts
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There is an indication that a the number of single Poisson components in the mixture depends on the collection frequency of terms. Original abstract-amended. ...
Investigates the
validity of the Multiple Poisson (nP) model of word distribution in document collections. ...
Modeling Bimodal Discrete Data Using Conway-Maxwell-Poisson Mixture Models
[article]
2014
arXiv
pre-print
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The methods are illustrated for modeling ordered rating data as well as truncated count data, using simulated and real examples. ...
We present methods for estimating the parameters of a mixture of two CMP distributions using an EM approach. ...
We are interested both in the frequency of a given value as well as in the value itself. ...
arXiv:1309.0579v2
fatcat:v6qxmqn74zegxk5pxi3zt2n35m
Joint estimation of object and aberrations by using phase diversity
1992
Optical Society of America. Journal A: Optics, Image Science, and Vision
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An expectation-maximization algorithm that enforces a structed for use in the Poisson noise case. ...
Expressions for an aberration-only objective function that accommodates an arbitrary number of diversity images and its gradient are derived for the case of a Gaussian noise model. ...
ACKNOWLEDGMENTS The authors are grateful for the useful interaction with Bob Gonsalves and Tony Devaney, who suggested treating phase diversity from the viewpoint of maximum-likelihood estimation. ...
doi:10.1364/josaa.9.001072
fatcat:fqagkezhsbbzjiguaw4opsu3eu
Modeling Bimodal Discrete Data Using Conway-Maxwell-Poisson Mixture Models
2015
Journal of business & economic statistics
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The methods are illustrated for modeling ordered rating data as well as truncated count data, using simulated and real examples. ...
We present methods for estimating the parameters of a mixture of two CMP distributions using an EM approach. ...
Acknowledgements The authors thank three anonymous referees and the Associate Editor for providing thoughtprovoking suggestions which led to valuable additions to the paper. ...
doi:10.1080/07350015.2014.949343
fatcat:zaxiuce7inbexgh73llehvpkqq
STUDY OF VARIOUS IMAGE DENOISING APPROACHES
2016
International Journal of Advanced Research
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In the first method, a single noisy image represents as a linear combination of image components that are truncated at various terms by using SVD. ...
When the components of noise are decorrelated from useful signal then decides a cut-off frequency and adapting a frequency domain filter for removal of noise [18] [28]. Disadvantage:a. ...
doi:10.21474/ijar01/802
fatcat:tipcng3aw5avlfak7pyyddkhgm
Can You Repeat That? Using Word Repetition to Improve Spoken Term Detection
2014
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
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We show that given the detection of one instance of a term we are more likely to find additional instances of that term in the same document. ...
We then develop a principled approach to select interpolation weights using only the ASR training data. ...
Disclaimer: The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied ...
doi:10.3115/v1/p14-1124
dblp:conf/acl/WintrodeK14
fatcat:z7czkhdpvzcsriv7tol46zopfe
Modelling of nonlinear filtering Poisson time series
2016
Journal of Physics, Conference Series
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In this article, algorithms of non-linear filtering of Poisson time series are tested using statistical modelling. ...
Testing of the algorithm using both simulated series and empirical data (series of rare words frequencies according to the Google Books Ngram data were used) showed that filtering based on the criterion ...
The quality of filtration for the series of empirical data can be evaluated on the basis of qualitative considerations that take into account the Poisson distribution properties. ...
doi:10.1088/1742-6596/738/1/012082
fatcat:krfscuhwv5ddbcbpi2jubcw7lq
Some Simple Effective Approximations to the 2-Poisson Model for Probabilistic Weighted Retrieval
[chapter]
1994
SIGIR '94
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The 2-Poisson model for term frequencies is used to suggest ways of incorporating certain variables in probabilistic models for information retrieval. ...
The variables concerned are within-document term frequency, document length, and within-query term frequency. Simple weighting functions are developed, and tested on the TREC test collection. ...
Acknowledgements We are very grateful to Michael Keen, Karen Sparck Jones and Peter Willett for acting as advisors to the Okapi at TREC projects. ...
doi:10.1007/978-1-4471-2099-5_24
dblp:conf/sigir/RobertsonW94
fatcat:d7uo33wlsbbl7f6v6ewhimaas4
Parallel Poisson disk sampling with spectrum analysis on surfaces
2010
ACM SIGGRAPH Asia 2010 papers on - SIGGRAPH ASIA '10
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Such a distribution satisfies the blue noise property, i.e. lack of low frequency noise and structural bias in the Fourier power spectrum. ...
Using the spectral mesh basis derived from the discrete mesh Laplacian operator, we extend standard concepts in power spectrum analysis such as radial means and anisotropy to arbitrary manifold surfaces ...
The authors would like to thank SIGGRAPH Asia anonymous reviewers for their feedback and comments. Rui Wang is supported in part by NSF grant CCF-0746577. ...
doi:10.1145/1866158.1866188
fatcat:sifrplifn5anfg5zucsugs6zxi
Parallel Poisson disk sampling with spectrum analysis on surfaces
2010
ACM Transactions on Graphics
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Such a distribution satisfies the blue noise property, i.e. lack of low frequency noise and structural bias in the Fourier power spectrum. ...
Using the spectral mesh basis derived from the discrete mesh Laplacian operator, we extend standard concepts in power spectrum analysis such as radial means and anisotropy to arbitrary manifold surfaces ...
The authors would like to thank SIGGRAPH Asia anonymous reviewers for their feedback and comments. Rui Wang is supported in part by NSF grant CCF-0746577. ...
doi:10.1145/1882261.1866188
fatcat:lr3sylaj6nferjpa5z25trlqiu
Parallel Poisson disk sampling with spectrum analysis on surfaces
2010
ACM SIGGRAPH Asia 2010 papers on - SIGGRAPH ASIA '10
Preserved Fulltext
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The file type is application/pdf.
Such a distribution satisfies the blue noise property, i.e. lack of low frequency noise and structural bias in the Fourier power spectrum. ...
Using the spectral mesh basis derived from the discrete mesh Laplacian operator, we extend standard concepts in power spectrum analysis such as radial means and anisotropy to arbitrary manifold surfaces ...
The authors would like to thank SIGGRAPH Asia anonymous reviewers for their feedback and comments. Rui Wang is supported in part by NSF grant CCF-0746577. ...
doi:10.1145/1882262.1866188
fatcat:uruabfh3zvbqvdeu53lhaqhznm
Generative Spectrogram Factorization Models for Polyphonic Piano Transcription
2010
IEEE Transactions on Audio, Speech, and Language Processing
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The models represent the observed data as the superposition of statistically independent sources, and we consider variance-based models used in source separation and intensity-based models for non-negative ...
We introduce a framework for probabilistic generative models of time-frequency coefficients of audio signals, using a matrix factorization parametrization to jointly model spectral characteristics such ...
The first assumes that each frame of data is independent of the others, which is useful in evaluating the performance of the source models in isolation. ...
doi:10.1109/tasl.2009.2029769
fatcat:le6sa5kqyvfyxnciiu5rwdphya
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