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The maximum entropy method for analyzing retrieval measures

Javed A. Aslam, Emine Yilmaz, Virgiliu Pavlu
2005 Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '05  
We present a model, based on the maximum entropy method, for analyzing various measures of retrieval performance such as average precision, R-precision, and precision-at-cutoffs.  ...  As such, the maximum entropy method can be used to quantify the overall quality of a retrieval measure.  ...  We consider the problem of analyzing the quality of various measures of retrieval performance and propose a model based on the maximum entropy method for evaluating the quality of a performance measure  ... 
doi:10.1145/1076034.1076042 dblp:conf/sigir/AslamYP05 fatcat:xutchgazcbbnnbc4m4k76elaui

Automatic Representative View Selection of a 3D Cultural Relic Using Depth Variation Entropy and Depth Distribution Entropy

Sheng Zeng, Guohua Geng, Mingquan Zhou
2021 Entropy  
View-based methods play an important role in the field of 3D shape retrieval and classification.  ...  The views with maximum entropy of depth variation and depth distribution were selected, and further scattered viewpoints were selected.  ...  Acknowledgments: The authors would like to thank the anonymous reviewers for their valuable comments and suggestions that have improved the quality of this manuscript.  ... 
doi:10.3390/e23121561 pmid:34945867 pmcid:PMC8700342 fatcat:k3ujecb55bb7tp544rbf6x2u2q

Retrieval of a Temporal High-Resolution Leaf Area Index (LAI) by Combining MODIS LAI and ASTER Reflectance Data

Yonghua Qu, Wenchao Han, Mingguo Ma
2014 Remote Sensing  
The interactions between the different resolution data were analyzed from a Bayesian perspective.  ...  In this paper, a high-resolution LAI retrieval method was implemented using a dynamic Bayesian network (DBN) inversion framework.  ...  Acknowledgments This work was supported in part by the National Natural Science Foundation of China (41271348), the National Basic Research Program of China (2013CB733403), and in part by the National  ... 
doi:10.3390/rs7010195 fatcat:igubbjyninbjfppk7xx4sjx5xe

Retrieval of a Temporal High-Resolution Leaf Area Index (LAI) by Combining MODIS LAI and ASTER Reflectance Data

Yonghua Qu, Wenchao Han, Mingguo Ma
2014 Remote Sensing  
The interactions between the different resolution data were analyzed from a Bayesian perspective.  ...  In this paper, a high-resolution LAI retrieval method was implemented using a dynamic Bayesian network (DBN) inversion framework.  ...  Acknowledgments This work was supported in part by the National Natural Science Foundation of China (41271348), the National Basic Research Program of China (2013CB733403), and in part by the National  ... 
doi:10.3390/rs70100195 fatcat:i7qzxdwe3jd5zejb4hyk7kma5u

Information theoretic similarity measures for content based image retrieval

John Zachary, S. S. Iyengar
2001 Journal of the American Society for Information Science and Technology  
Content-based image retrieval is based on the idea of extracting visual features from image and using them to index images in a database.  ...  When use in conjunction with vectors, our method displays improved efficiency when querying large databases.  ...  Retrieval Performance of the Maximum Relative Entropy Measure The retrieval performance of the maximum relative entropy measure was analyzed for the same 20 query images as the EELN algorithm.  ... 
doi:10.1002/asi.1139 fatcat:7yncwjo555ceho7ribsoyoajoy

Information theoretic similarity measures for content based image retrieval

John Zachary, S. S. Iyengar
2001 Journal of the American Society for Information Science and Technology  
Content-based image retrieval is based on the idea of extracting visual features from image and using them to index images in a database.  ...  When use in conjunction with vectors, our method displays improved efficiency when querying large databases.  ...  Retrieval Performance of the Maximum Relative Entropy Measure The retrieval performance of the maximum relative entropy measure was analyzed for the same 20 query images as the EELN algorithm.  ... 
doi:10.1002/asi.1139.abs fatcat:s74uueclrjby3mbkh2qfps7xhy

Sentence Level Paraphrase Identification System for Tamil Language

C. S. Kanimozhiselvi, S. Malliga, S. V. Kogilavani
2018 International Journal of Darshan Institute on Engineering Research & Emerging Technology  
The analysis based on these performance measures shows that Random Forest method classifies the sentence pair into paraphrase or not-a-paraphrase with high accuracy compared to other methods.  ...  The accuracy and performance of these methods are measured based on evaluation parameters like accuracy, precision, recall and fmeasure.  ...  Previously, Maximum Entropy gives the maximum accuracy of 0.741 and got the second position in the International Forum for Information Retrieval and Evaluation Conference, which is slightly lesser than  ... 
doi:10.32692/ijdi-eret/7.1.2018.1805 fatcat:zn3bpb4cpjffxgqoicc2qnvuaa

Information Entropy Algorithms for Image, Video, and Signal Processing

Gwanggil Jeon
2021 Entropy  
Information entropy is a basic concept in information theory associated with any random variable [...]  ...  Finally, we would like to express our sincere gratitude to the journal staff and assistant editor for providing us with this unique opportunity to present our works in the MDPI journal Entropy.  ...  Acknowledgments: We would like to express our appreciation to all the authors for their informative contributions and the reviewers for their support and constructive critiques in making this special issue  ... 
doi:10.3390/e23080926 fatcat:h27gmgo6mjcn5ikqe3ytjyg4hm

Estimation, sensitivity, and generalization in parameterized retrieval models

Donald Metzler
2006 Proceedings of the 15th ACM international conference on Information and knowledge management - CIKM '06  
In this work we investigate three important aspects of parameterized retrieval models: estimation, sensitivity, and generalization.  ...  Any opinions, findings and conclusions or recommendations expressed in this material are the author's and do not necessarily reflect those of the sponsor.  ...  Acknowledgments This work was supported in part by the CIIR, in part by NSF grant #CNS-0454018, in part by ARDA and NSF grant #CCF-0205575, and in part by NSF grant #IIS-0527159.  ... 
doi:10.1145/1183614.1183743 dblp:conf/cikm/Metzler06 fatcat:4flinds5avdw3nk6mdfa3oed2e

Hierarchical Geometry Verification via Maximum Entropy Saliency in Image Retrieval

Hongwei Zhao, Qingliang Li, Pingping Liu
2014 Entropy  
We propose a new geometric verification method in image retrieval-Hierarchical Geometry Verification via Maximum Entropy Saliency (HGV)-which aims at filtering the redundant matches and remaining the information  ...  Experiment results prove that Hierarchical Geometry Verification based on Maximum Entropy Saliency can not only improve retrieval accuracy, but also reduce the time consumption of the full retrieval.  ...  We also acknowledge Zhimeng Nong who validated the experiment results of all the retrieval methods.  ... 
doi:10.3390/e16073848 fatcat:7yctov6psjbrviu5ctzx3t6w7e

A Comparative Evaluation of Feature Extraction and Similarity Measurement Methods for Content-based Image Retrieval

S.M. Mohidul Islam, Computer Science and Engineering Discipline, Khulna University, Khulna, Bangladesh, Rameswar Debnath
2020 International Journal of Image Graphics and Signal Processing  
The present study allows determinations of the features as well as similarity measures that perform best for similar image retrieval among the many available alternatives.  ...  Again, as a similarity measure, cosine and correlation measures show the best accuracy in maximum cases; Standardized L 2 in few cases and on average, city block measure retrieves more similar images,  ...  Wavelet packet entropy shows the best result than Wavelet Moment and wavelet energy methods for all measures except L 1 .  ... 
doi:10.5815/ijigsp.2020.06.03 fatcat:kvzvv7epnrax5o6rwxk2yileiy

Segmentation of Human Spermatozoa using Threshold-Based Image Segmentation

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
The role of image processing in processing and analyzing the microscopic medical images is the most challenging and required task in the assisted method of fertilization for human society.  ...  The effective segmentation in the medical image is to highlight the expected portions such as head, tail, and mid-piece for the further process of analyzing the defects in the sperm cell.  ...  Kapur et al. applied Shannon's entropy on an image to calculate and sum the entropy for foreground and background classes. If the sum is maximum, then the threshold is optimum.  ... 
doi:10.35940/ijitee.k2241.0981119 fatcat:6z42kkgkebfancxpu6k3rnx2uq

Content-Free Image Retrieval using Bayesian Product Rule

David Liu, Tsuhan Chen
2006 2006 IEEE International Conference on Multimedia and Expo  
The proposed algorithm also has the advantage of being applicable to both content-free and traditional content-based image retrieval, thus providing a common framework for these two paradigms.  ...  We present a Bayesian-based algorithm to analyze user feedback and show that it outperforms a recent maximum entropy content-free algorithm, according to extensive experiments on trademark logo and 3D  ...  The Bayesian product rule (top curve) yields higher accuracy than the maximum entropy method.  ... 
doi:10.1109/icme.2006.262557 dblp:conf/icmcs/LiuC06 fatcat:pfbmd4v4ovhxfgcsr33t336kmu

Keyword Extraction Methodologies Based on Rényi Entropy and Tsallis Relative Entropy

Aakanksha Singhal, Department of Mathematics, Jaypee University of Engineering and Technology, A.B. Road, Raghogarh, Dist. Guna (M.P)-473226, India., D.K. Sharma, Department of Mathematics, Jaypee University of Engineering and Technology, A.B. Road, Raghogarh, Dist. Guna (M.P)-473226, India.
2021 Maǧallaẗ al-abḥāṯ al-handasiyyaẗ  
The proposed methods being statistics-based methods, these are language and domain independent method.  ...  In this article we pr opose and analyze keyword extraction methodology using Rényi entropy and Tsallis relative entropy.  ...  Moreover, Rényi entropy has successful application in the complex systems and the fact that the maximum entropy principle results in the same form of q-exponential distribution function for both Tsallis  ... 
doi:10.36909/jer.emsme.13893 fatcat:3otqjhsoazftzbm3dzdti2emjq

Model-independent maximum-entropy method for the analysis of sum-frequency vibrational spectroscopy

Pao-Keng Yang, Jung Y. Huang
2000 Journal of the Optical Society of America. B, Optical physics  
We have developed and applied a maximum-entropy phase-retrieval procedure to analyze sum-frequency vibrational spectra from a CCl 4 /octadecyl tricholosilane/silica interface and a hydrogen-terminated  ...  Some a priori knowledge of a nonlinear optical spectrum was employed for determining the phase of nonlinear optical susceptibility, and therefore the requirement for experimental phase measurement can  ...  APPLICATIONS OF THE MAXIMUM-ENTROPY PHASE-RETRIEVAL PROCEDURE IN PRACTICAL INFRARED-VISIBLE SUM-FREQUENCY GENERATION SPECTRA To demonstrate the usefulness of our method, we applied the MEPRP to analyze  ... 
doi:10.1364/josab.17.001216 fatcat:ulyfs42vkbatlmk77pk2uacnhq
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