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Evaluation of the 2-Poisson model as a basis for using term frequency data in searching

Vijay V. Raghavan, Hong-pao Shi, C. T. Yu
1983 Proceedings of the 6th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '83  
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

Huafeng Xi, Jianfeng Zhan, Zhen Jia, Xuehai Hong, Lei Wang, Lixin Zhang, Ninghui Sun, Gang Lu
2011 2011 IEEE International Symposium on Workload Characterization (IISWC)  
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  
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  
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]

Pragya Sur, Galit Shmueli, Smarajit Bose, Paromita Dubey
2014 arXiv   pre-print
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

Richard G. Paxman, Timothy J. Schulz, James R. Fienup
1992 Optical Society of America. Journal A: Optics, Image Science, and Vision  
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

Pragya Sur, Galit Shmueli, Smarajit Bose, Paromita Dubey
2015 Journal of business & economic statistics  
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

Samandeep kaur, sumeet kaur
2016 International Journal of Advanced Research  
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

Jonathan Wintrode, Sanjeev Khudanpur
2014 Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)  
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

Vladimir V Bochkarev, Inna A Belashova
2016 Journal of Physics, Conference Series  
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]

S. E. Robertson, S. Walker
1994 SIGIR '94  
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

John Bowers, Rui Wang, Li-Yi Wei, David Maletz
2010 ACM SIGGRAPH Asia 2010 papers on - SIGGRAPH ASIA '10  
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

John Bowers, Rui Wang, Li-Yi Wei, David Maletz
2010 ACM Transactions on Graphics  
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

John Bowers, Rui Wang, Li-Yi Wei, David Maletz
2010 ACM SIGGRAPH Asia 2010 papers on - SIGGRAPH ASIA '10  
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

P.H. Peeling, A.T. Cemgil, S.J. Godsill
2010 IEEE Transactions on Audio, Speech, and Language Processing  
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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