Results 31 to 40 of about 29,958 (160)
Reverse $k$ Nearest Neighbor Search over Trajectories [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2018 GPS enables mobile devices to continuously provide new opportunities to improve our daily lives. For example, the data collected in applications created by Uber or Public Transport Authorities can be used to plan transportation routes, estimate capacities, and proactively identify low coverage areas.
Sheng Wang +4 more
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Fast Category-Hidden Adversarial Attack Against Semantic Image Segmentation
International Journal of Computational Intelligence Systems, 2021 In semantic segmentation, category-hidden attack is a malicious adversarial attack which manipulates a specific category without affecting the recognition of other objects.
Yinghui Zhu +3 more
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k Nearest Neighbor Search for Location-Dependent Sensor Data in MANETs
IEEE Access, 2015 K nearest neighbor (kNN) queries, which retrieve the k nearest sensor data items associated with a location (location-dependent sensor data) from the location of the query issuer, are useful for location-based services in mobile environments.
Yuka Komai +3 more
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Navigating K-Nearest Neighbor Graphs to Solve Nearest Neighbor Searches [PDF]
, 2010 Nearest neighbor queries can be satisfied, in principle, with a greedy algorithm under a proximity graph. Each object in the database is represented by a node, and proximal nodes in this graph will share an edge. To find the nearest neighbor the idea is quite simple, we start in a random node and get iteratively closer to the nearest neighbor following
Edgar Chávez, Eric Sadit Tellez
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Learning to Index for Nearest Neighbor Search [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 This paper was accepted by IEEE Transcations on Pattern Analysis and Machine Intelligence in March ...
Chih-Yi Chiu +2 more
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Pyramid Product Quantization for Approximate Nearest Neighbor Search
Applied SciencesProduct quantization (PQ) is a widely adopted technique for efficient approximate nearest neighbor (ANN) search in high-dimensional spaces, offering a favorable balance between accuracy and memory efficiency. However, standard PQ suffers from high online
Yang Wang +3 more
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Binary Hashing for Approximate Nearest Neighbor Search on Big Data: A Survey
IEEE Access, 2018 Nearest neighbor search is a fundamental problem in various domains, such as computer vision, data mining, and machine learning. With the explosive growth of data on the Internet, many new data structures using spatial partitions and recursive hyperplane
Yuan Cao +6 more
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Reverse Nearest Neighbor Search in Metric Spaces [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2006 Udgivelsesdato: September ...
Tao, Y, Mamoulis, N, Yiu, ML
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Engineering optimization by constrained differential evolution with nearest neighbor comparison
Vietnam Journal of Mechanics, 2016 It has been proposed to utilize nearest neighbor comparison to reduce the number of function evaluations in unconstrained optimization. The nearest neighbor comparison omits the function evaluation of a point when the comparison can be judged by its ...
Pham Hoang Anh
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