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Dynamic Range-Filtering Approximate Nearest Neighbor Search
Proceedings of the VLDB EndowmentRange-filtering approximate nearest neighbor search (RFANNS) has gained significant attention recently. Consider a set D of high-dimensional vectors, each associated with a numeric attribute value, e.g., price or timestamp.
Zhencan Peng +4 more
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Ordinal Constraint Binary Coding for Approximate Nearest Neighbor Search
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019Binary code learning, a.k.a. hashing, has been successfully applied to the approximate nearest neighbor search in large-scale image collections. The key challenge lies in reducing the quantization error from the original real-valued feature space to a discrete Hamming space.
Hong Liu +3 more
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Adaptive approximate nearest neighbor search for fractal image compression
IEEE Transactions on Image Processing, 2002Fractal image encoding is a computationally intensive method of compression due to its need to find the best match between image subblocks by repeatedly searching a large virtual codebook constructed from the image under compression. One of the most innovative and promising approaches to speed up the encoding is to convert the range-domain block ...
Chong Sze, Tong, Man, Wong
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Approximate Nearest Neighbor Search with Filters
Approximate nearest neighbor search (ANNS) on high-dimensional vectors is a fundamental primitive used widely for search over neural embeddings of unstructured data. Prior work on ANNS has produced indices which provide fast and accurate search on datasets up to billions of points, but are not well suited to queries restricted to some subset of the ...openaire +2 more sources
Efficient Approximate Nearest Neighbor Search on a Raspberry Pi
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information RetrievalApproximate Nearest Neighbors (ANN) search is a core task in Information Retrieval. However, the high computational demands and reliance on expensive infrastructures limit broader contributions to ANN research. Enabling efficient and effective ANN search on low-resource devices would allow researchers in low-income countries to participate in the ANN ...
Silvio Martinico +3 more
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New Directions in Approximate Nearest-Neighbor Searching
2019Approximate nearest-neighbor searching is an important retrieval problem with numerous applications in science and engineering. This problem has been the subject of many research papers spanning decades of work. Recently, a number of dramatic improvements and extensions have been discovered.
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Plant root exudates and rhizosphere bacterial communities shift with neighbor context
Soil Biology and Biochemistry, 2022Tayler C Ulbrich +2 more
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A new two-layer nearest neighbor selection method for kNN classifier
Knowledge-Based Systems, 2022Zhibin Pan
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Residual Vector Product Quantization for approximate nearest neighbor search
Expert Systems with Applications, 2023Lushuai Niu +6 more
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