The DOI matches its OpenAlex record; 136 of the 136 references it cites were found in a registry or an index.
Differentially Private High-Dimensional Approximate Range Counting, Revisited
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Approximate nearest neighbors: towards removing the curse of dimensionality
Indyk, P., & Motwani, R. (1998) · Proceedings of the thirtieth annual ACM symposium on Theory of computing - STOC '98 · doi:10.1145/276698.276876 · Cited by 4,188
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Product Quantization for Nearest Neighbor Search
Jégou, H., Douze, M., & Schmid, C. (2011) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2010.57 · Cited by 2,956
Locality-sensitive hashing scheme based on p-stable distributions
Datar, M., Immorlica, N., Indyk, P., & Mirrokni, V. S. (2004) · Proceedings of the twentieth annual symposium on Computational geometry · doi:10.1145/997817.997857 · Cited by 2,936
Random Features for Large-Scale Kernel Machines
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FAST APPROXIMATE NEAREST NEIGHBORS WITH AUTOMATIC ALGORITHM CONFIGURATION
(2009) · Proceedings of the Fourth International Conference on Computer Vision Theory and Applications · doi:10.5220/0001787803310340 · Cited by 2,640
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Similarity estimation techniques from rounding algorithms
Charikar, M. S. (2002) · Proceedings of the thiry-fourth annual ACM symposium on Theory of computing · doi:10.1145/509907.509965 · Cited by 2,220
Gong, Y., Lazebnik, S., Gordo, A., & Perronnin, F. (2013) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2012.193 · Cited by 1,834
On the resemblance and containment of documents
Broder, A. Z. (2002) · Proceedings. Compression and Complexity of SEQUENCES 1997 (Cat. No.97TB100171) · doi:10.1109/sequen.1997.666900 · Cited by 1,698
Cited by
Multimodal Machine Learning: A Survey and Taxonomy
Baltrusaitis, T., Ahuja, C., & Morency, L.-P. (2019) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2018.2798607 · Cited by 5,018
Deep Hashing Network for Unsupervised Domain Adaptation
Venkateswara, H., Eusebio, J., Chakraborty, S., & Panchanathan, S. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.572 · Cited by 2,171
The Case for Learned Index Structures
Kraska, T., Beutel, A., Chi, E. H., Dean, J., & Polyzotis, N. (2018) · Proceedings of the 2018 International Conference on Management of Data · doi:10.1145/3183713.3196909 · Cited by 956
FastText.zip: Compressing text classification models
Joulin, A., Grave, E., Bojanowski, P., Douze, M., Jégou, H., & Mikolov, T. (2016) · arXiv · doi:10.48550/arxiv.1612.03651 · Cited by 887
HashNet: Deep Learning to Hash by Continuation
Cao, Z., Long, M., Wang, J., & Yu, P. S. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2017.598 · Cited by 777
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Metadata
- Authors
- Wang, J., Shen, H. T., Song, J., & Ji, J.
- Venue
- arXiv (Cornell University)
- Publisher
- Cornell University
- Published
- 2014-08-13
- ISSN
- 2331-8422 (ISSN-L)
- OpenAlex
- W1870428314
- Cited by
- 370
- References
- 136
- Type
- posted content
- Language
- en
- Open access
- green
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- Wang, J., Shen, H. T., Song, J., & Ji, J. (2014). Differentially Private High-Dimensional Approximate Range Counting, Revisited. arXiv (Cornell University). https://doi.org/10.4230/lipics.cpm.2023.20
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
