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A memory learning framework for effective image retrieval

J. Han, K.N. Ngan, Mingjing Li, Hong-Jiang Zhang
2005 IEEE Transactions on Image Processing  
To address the problem, this study reports a framework for effective image retrieval by employing a novel idea of memory learning.  ...  Experiments on a collection of 10 000 general-purpose images demonstrate the effectiveness of the proposed framework.  ...  Zhang of MSRA for his help in system work. They would also like to thank F. Jing and G. Xue for some valuable discussions.  ... 
doi:10.1109/tip.2004.841205 pmid:15825485 fatcat:paek7dgbybdzthyszzvtzjhd2a

A Generic Framework for Efficient and Effective Subsequence Retrieval [article]

Haohan Zhu, George Kollios, Vassilis Athitsos
2012 arXiv   pre-print
This paper proposes a general framework for matching similar subsequences in both time series and string databases. The matching results are pairs of query subsequences and database subsequences.  ...  We also propose a generic index structure for metric spaces named "reference net".  ...  The framework in this paper consists of a number of steps: dataset segmentation, query segmentation, range query, candidate generation, and subsequence retrieval.  ... 
arXiv:1208.0286v1 fatcat:7h3xhdthgrcohj64h5z2felbdm

A generic framework for efficient and effective subsequence retrieval

Haohan Zhu, George Kollios, Vassilis Athitsos
2012 Proceedings of the VLDB Endowment  
This paper proposes a general framework for matching similar subsequences in both time series and string databases. The matching results are pairs of query subsequences and database subsequences.  ...  We also propose a generic index structure for metric spaces named "reference net".  ...  The framework in this paper consists of a number of steps: dataset segmentation, query segmentation, range query, candidate generation, and subsequence retrieval.  ... 
doi:10.14778/2350229.2350271 fatcat:jjd5mhbnfncjffqxevit7hxhzy

A Flexible Framework for Offline Effectiveness Metrics

Alistair Moffat, Joel Mackenzie, Paul Thomas, Leif Azzopardi
2022 Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval  
The basis behind this experimental structure is that the metric score for a system can serve as a surrogate measurement for user satisfaction.  ...  Here we introduce a user behavior framework that extends the C/W/L family.  ...  We thank the Tsinghua group for making their data publicly available.  ... 
doi:10.1145/3477495.3531924 fatcat:p2h7lbpjrffrjjsrkz5yznkjci

A Framework for Evaluating the Retrieval Effectiveness of Search Engines [chapter]

Dirk Lewandowski
Next Generation Search Engines  
This chapter presents a theoretical framework for evaluating next generation search engines.  ...  The framework not only addresses the results presentation, but also takes into account an extension of the general design of retrieval effectiveness tests.  ...  A FRAMEWORK FOR EVALUATING THE RETRIEVAL EFFECTIVENESS OF SEARCH ENGINES In the following sections, a framework for evaluating the retrieval effectiveness of search engines is presented.  ... 
doi:10.4018/978-1-4666-0330-1.ch020 fatcat:mzr7z7s76fchnbpt7v2msbjdkm

Retrieve, Discriminate and Rewrite: A Simple and Effective Framework for Obtaining Affective Response in Retrieval-Based Chatbots

Xin Lu, Yijian Tian, Yanyan Zhao, Bing Qin
2021 Findings of the Association for Computational Linguistics: EMNLP 2021   unpublished
To address this problem, we propose a simple and effective Retrieve-Discriminate-Rewrite framework.  ...  Existing works in retrieval-based chatbots are based on Retrieve-and-Rerank framework, which have a common problem of satisfying affect label at the expense of response quality.  ...  We thank the anonymous reviewers for their insightful comments and suggestions.  ... 
doi:10.18653/v1/2021.findings-emnlp.168 fatcat:27docnwb7jdutmd6t7hkncw6ba

A framework for quantifying the impacts of sub-pixel reflectance variance and covariance on cloud optical thickness and effective radius retrievals based on the bispectral method [article]

Z. Zhang, F. Werner, G. Wind, S. Platnick, A. S. Ackerman, L. Di Girolamo, A. Marshak, Kerry Meyer, H. M. Cho, University, My, University, My
2017
The so-called bi-spectral method retrieves cloud optical thickness (τ) and cloud droplet effective radius (rₑ) simultaneously from a pair of cloud reflectance observations, one in a visible or near infrared  ...  This framework takes into account the fact that the retrievals are determined by both VIS/NIR and SWIR band observations in a mutually dependent way.  ...  The focus of this study is to develop a unified framework for understanding and quantifying the impacts of sub-pixel level unresolved reflectance variations on r e and τ retrievals based on the bi-spectral  ... 
doi:10.13016/m2tb0xz84 fatcat:zffjsctnwrcrlodyxxmr4fpkau

Learning to combine representations for medical records search

Nut Limsopatham, Craig Macdonald, Iadh Ounis
2013 Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '13  
For example, 'cancer', 'tumour', and 'neoplasms', which are synonyms, may prevent a traditional search system from retrieving relevant records that contain only synonyms of the query terms.  ...  As our proposed framework can significantly outperform an existing approach that linearly merges the relevance scores, we conclude that retrieval performance predictors can be effectively leveraged when  ...  We have proposed a regression-trees-based learning framework that can effectively handle this combination using the Gradient Boosted Regression Trees to learn an effective combination model via retrieval  ... 
doi:10.1145/2484028.2484177 dblp:conf/sigir/LimsopathamMO13 fatcat:qwbcsz3kq5hnbpryku6k6ppwyi

A Unified Framework for Post-Retrieval Query-Performance Prediction [chapter]

Oren Kurland, Anna Shtok, David Carmel, Shay Hummel
2011 Lecture Notes in Computer Science  
The framework is based on using a pseudo effective and/or ineffective ranking as reference comparisons to the ranking at hand, the quality of which we want to predict.  ...  The query-performance prediction task is estimating the effectiveness of a search performed in response to a query in lack of relevance judgments.  ...  We thank the reviewers for their comments. This paper is based upon work supported in part by the Israel Science Foundation under grant no. 557/09, and by IBM's SUR award.  ... 
doi:10.1007/978-3-642-23318-0_4 fatcat:a5sglzqpordxpifpmwsjqvxizy

Retrieval contexts and the concreteness effect: Dissociations in memory for concrete and abstract words

Laura ter Doest, Gün Semin
2005 The European Journal of Cognitive Psychology  
Decades of research on the concreteness effect, namely better memory for concrete as compared with abstract words, suggest it is a fairly robust phenomenon.  ...  These findings are consistent with both a bidirectional version of the relational-distinctiveness processing framework (Ruiz-Vargas, Cuevas, & Marschark, 1996) and a second framework combining insights  ...  A limitation of the present research is that it does not provide a basis for determining which of these theoretical frameworks can better account for limiting retrieval conditions of the concreteness effect  ... 
doi:10.1080/09541440540000031 fatcat:k7j5er6aavezfgowhibnlr6vma

Learning to handle negated language in medical records search

Nut Limsopatham, Craig Macdonald, Iadh Ounis
2013 Proceedings of the 22nd ACM international conference on Conference on information & knowledge management - CIKM '13  
For example, when searching for patients with angina, a retrieval system might wrongly consider a patient with a medical record stating "no evidence of angina" to be relevant.  ...  In addition, in combination with a traditional query expansion and a conceptual representation approach, our proposed framework could achieve a retrieval effectiveness comparable to the performance of  ...  From Equation (1) , we draw attention to w(t ′ ), which is a crucial parameter for effectively penalising a medical record for the occurrences of t ′ .  ... 
doi:10.1145/2505515.2505706 dblp:conf/cikm/LimsopathamMO13 fatcat:pjpgpd7m6nfyjmizm5p2wq5zhe

Estimating query representativeness for query-performance prediction

Mor Sondak, Anna Shtok, Oren Kurland
2013 Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '13  
need for retrieval.  ...  We present a novel probabilistic framework for QPP that gives rise to an important aspect that was not addressed in previous work; namely, the extent to which the query effectively represents the information  ...  Some of these queries might be more effective for retrieval over a given corpus than others for the information need at hand.  ... 
doi:10.1145/2484028.2484107 dblp:conf/sigir/SondakSK13 fatcat:dmmoxuvlgjh75m5daqc5dagp2u

Back to the roots

Oren Kurland, Anna Shtok, Shay Hummel, Fiana Raiber, David Carmel, Ofri Rom
2012 Proceedings of the 21st ACM international conference on Information and knowledge management - CIKM '12  
We present a novel fundamental probabilistic prediction framework.  ...  Although there exist many effective prediction methods, these differ substantially in their basic principles, and rely on diverse hypotheses about the characteristics of effective retrieval.  ...  Acknowledgments We thank the anonymous reviewers, and Yuval Nardi, for their comments.  ... 
doi:10.1145/2396761.2396866 dblp:conf/cikm/KurlandSHRCR12 fatcat:sqmpnzw3yfdthmmrxdcaaztuxm

Framework for analysis and improvement of data-fusion algorithms

Mohammad Othman Nassar, Ghassan Kanaan, Hussain A. H Awad
2010 2010 2nd IEEE International Conference on Information Management and Engineering  
We propose a framework for analyses and improvement of Data-fusion algorithms; this framework is going to be: First; a supportive tool for researchers when they are going to design a new Data-fusion algorithm  ...  Introducing a new or improved data-fusion algorithm is an active research area for the researchers' community.  ...  This effect considered as being a very significant effect [9] .  Skimming effect; relevant documents are most likely to occur on the top of the retrieved list for each individual retrieval system, so  ... 
doi:10.1109/icime.2010.5478019 fatcat:irhfbegvtrhzfmacujt73ucnze

Ontology-based Secure Retrieval of Semantically Significant Visual Contents [article]

Khan Muhammad, Irfan Mehmood, Mi Young Lee, Su Mi Ji, Sung Wook Baik
2015 arXiv   pre-print
Therefore, we propose a novel ontology-based framework using image steganography for secure image classification and information retrieval.  ...  However, efficient and effective classification and retrieval is still a challenging problem due to complex nature of visual contents.  ...  The proposed methodology In this section, we present a detailed description of the proposed framework for secure visual contents retrieval.  ... 
arXiv:1510.02177v1 fatcat:y6lvbhfebnd55klqpqsy3er4zi
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