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Robust cross-modal retrieval with alignment refurbishment Research Article

Jinyi GUO, Jieyu DING,jinyi_g@njust.edu.cn,djy@qdu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 10, Pages 1403-1415 doi: 10.1631/FITEE.2200514

Abstract: tries to achieve mutual retrieval between modalities by establishing consistent alignment for differentrobust with alignment refurbishment (RCAR), which significantly reduces the impact of noise on the model

Keywords： Cross-modal retrieval Robust learning Alignment correction Beta-mixture model

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Image-based 3D model retrieval using manifold learning None

Pan-pan MU, San-yuan ZHANG, Yin ZHANG, Xiu-zi YE, Xiang PAN

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 11, Pages 1397-1408 doi: 10.1631/FITEE.1601764

Abstract:

We propose a new framework for image-based three-dimensional (3D) model retrieval.We first model the query image as a Euclidean point.Then we model all projected views of a 3D model as a symmetric positive definite (SPD) matrix, whichThus, the image-based 3D model retrieval is reduced to a problem of Euclid-to-Riemann metric learningretrieval.

Keywords： Model retrieval Euclidean space Riemannian manifold Hilbert space Metric learning

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Improving retrieval precision of NO

Jinpeng YANG

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 1, Pages 92-96 doi: 10.1007/s11465-009-0001-5

Abstract: The NO density error retrieved by the traditional method of differential optical absorption spectroscopy (DOAS) was analyzed. The technique for reducing the error is proposed and used to obtain the NO density of Chengdu through DOAS.

Keywords： absorption structure low-frequency structure absorption cross-section NO₂ density

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HY-2A microwave scatterometer wind retrieval algorithm

Lin Mingsen,Zou Juhong,Xie Xuetong and Zhang Yi

Strategic Study of CAE 2013, Volume 15, Issue 7, Pages 68-74

Abstract:

The routine wind fields retrieval algorithm for China's microwaveBy introducing a two-step search schema into the wind retrieval process, which included a coarse-searchand an optimal-search, the efficiency of wind retrieval was greatly improved.

Keywords： HY-2A microwave scatterometer wind fields retrieval algorithm

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Verification of HY-2 satellite radar altimeter wind retrieval

Jia Yongjun,Zhang Youguang,Lin Mingsen

Strategic Study of CAE 2014, Volume 16, Issue 6, Pages 54-59

Abstract:

Sea surface wind speed has a very important role in the transfer of kinetic energy in the ocean, and the exchange of the matter and energy in the air-sea surface. The HY-2 satellite altimeter provides sea surface height, significant wave height, sea surface wind speed. And the accuracy of the wind speed affects the users’ application. In this study, the two-parameter algorithm is used to get the wind speed from HY-2 satellite radar altimeter. The correctness of this algorithm is calculated using the Jason-1 and HY-2 scatterometer data qualitatively. Three different methods(cross-over method, NDBC) are used respectively to evaluate this algorithm.

Keywords： wind speed retrieval two-parameter algorithm radar altimeter HY-2

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Paper evolution graph: multi-view structural retrieval for academic literature None

Dan-ping LIAO, Yun-tao QIAN

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 2, Pages 187-205 doi: 10.1631/FITEE.1700105

Abstract:

Academic literature retrieval concerns about the selection of papers that are most likely to matchMost of the retrieval systems are limited to list-output models, in which the retrieval results are isolatedIn this paper, we aim to uncover the relationships between the retrieval results and propose a methodto build structural retrieval results for academic literature, which we call a paper evolution graph

Keywords： Paper evolution graph Academic literature retrieval Metagraph factorization Topic coherence

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Analysis of Data Sets With Different Microwave Remote Sensing Mode in Soil Moisture Retrieval

Yuan Wei,Li Zongqian,Liu Ning

Strategic Study of CAE 2004, Volume 6, Issue 6, Pages 50-56

Abstract: The methods and characters of three microwave remote sensing modes for soil moisture retrieval are discussedcoefficient and emissivity for bare soil surface are calculated based on the theoretical backscattering model

Keywords： microwave remote sensing soil moisture retrieval remote sensing modes neural network

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Study on retrieval algorithm of ocean parameters for the HY-2 scanning microwave radiometer

Wang Zhenzhan,Bao Jinghua,Li Yun,Shen Hua

Strategic Study of CAE 2014, Volume 16, Issue 6, Pages 70-82

Abstract:

This paper established retrieval algorithm of sea surface temperatureThe retrieval algorithm will be optimized by further calibration of brightness temperature.

Keywords： HY-2 satellite scanning microwave radiometer ocean parameter retrieval algorithm

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Efficient dynamic pruning on largest scores first (LSF) retrieval

Kun JIANG,Yue-xiang YANG

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 1, Pages 1-14 doi: 10.1631/FITEE.1500190

Abstract: We propose another novel exhaustive index traversal scheme called largest scores first (LSF) retrievalexisting term-at-atime (TAAT) and the candidate selection cost of existing document-at-a-time (DAAT) retrieval

Keywords： Inverted index Index traversal Query latency Largest scores first (LSF) retrieval Dynamic pruning

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Phase problems in optical imaging Review

Guo-hai SITU, Hai-chao WANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 9, Pages 1277-1287 doi: 10.1631/FITEE.1700298

Abstract: In this paper, we provide a review ofour recent work on iterative phase retrieval techniques and theirapplications

Keywords： Phase retrieval Phase imaging Computational imaging Gerchberg-Saxton algorithm Optical encryption

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A machine learning approach to query generation in plagiarism source retrieval Article

Lei-lei KONG, Zhi-mao LU, Hao-liang QI, Zhong-yuan HAN

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 10, Pages 1556-1572 doi: 10.1631/FITEE.1601344

Abstract: Plagiarism source retrieval is the core task of plagiarism detection.Generating queries from a suspicious document is one of the most important steps in plagiarism source retrievalFurther improvements on heuristic methods for source retrieval rely mainly on the experience of expertsThe statistical machine learning approach to query generation for source retrieval is formulated as aSpecifically, it aims to achieve the optimal source retrieval performance for each suspicious document

Keywords： Plagiarism detection Source retrieval Query generation Machine learning Learning to rank

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Cohort-based personalized query auto-completion Regular Papers-Research Articles

Dan-yang JIANG, Hong-hui CHEN

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 9, Pages 1246-1258 doi: 10.1631/FITEE.1800010

Abstract: Query auto-completion (QAC) facilitates query formulation by predicting completions for given query prefix inputs. Most web search engines use behavioral signals to customize query completion lists for users. To be effective, such personalized QAC models rely on the access to sufficient context about each user’s interest and intentions. Hence, they often suffer from data sparseness problems. For this reason, we propose the construction and application of cohorts to address context sparsity and to enhance QAC personalization. We build an individual’s interest profile by learning his/her topic preferences through topic models and then aggregate users who share similar profiles. As conventional topic models are unable to automatically learn cohorts, we propose two cohort topic models that handle topic modeling and cohort discovery in the same framework. We present four cohortbased personalized QAC models that employ four different cohort discovery strategies. Our proposals use cohorts’ contextual information together with query frequency to rank completions. We perform extensive experiments on the publicly available AOL query log and compare the ranking effectiveness with that of models that discard cohort contexts. Experimental results suggest that our cohort-based personalized QAC models can solve the sparseness problem and yield significant relevance improvement over competitive baselines.

Keywords： Query auto-completion Cohort-based retrieval Topic models

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Precise Three-Dimensional Deformation Retrieval in Large and Complex Deformation Areas via Integration Article

Won-Kyung Baek, Hyung-Sup Jung

Engineering 2020, Volume 6, Issue 8, Pages 927-935 doi: 10.1016/j.eng.2020.06.012

Abstract: the 2016 Kumamoto earthquake was large and complex near the fault line; hence, precise 3D deformation retrievalThe objectives of this study were to ① perform a feasibility test of precise 3D deformation retrievalPhased Array-type L-band Synthetic Aperture Radar-2 (PALSAR-2) pair were used for the 3D deformation retrieval

Keywords： SAR interferometry (InSAR) Multiple-aperture SAR interferometry (MAI) ALOS2 PALSAR2 3D deformation retrieval

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Efficient keyword search over graph-structured data based on minimal covered Article

Asieh GHANBARPOUR, Khashayar NIKNAFS, Hassan NADERI

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 3, Pages 448-464 doi: 10.1631/FITEE.1800133

Abstract: introduce the semantic of minimal covered r-clique (MCCr) for the results of a keyword query as an extended model

Keywords： Keyword search Graph mining Information retrieval Database Clique

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Fast uniform content-based satellite image registration using the scale-invariant feature transform descriptor Article

Hamed BOZORGI, Ali JAFARI

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 8, Pages 1108-1116 doi: 10.1631/FITEE.1500295

Abstract: Also, many researchers have applied a local SIFT descriptor to improve the image retrieval process.requirements for saving the relevant information, which are important factors in content-based image retrievalApplying the trained kernel on verification data and mapping them showed a successful retrieval rate

Keywords： Content-based image retrieval Feature point distribution Image registration Linear discriminant analysis