cluster #4
50 papers in this cluster (ordered by heat_score)
Papers
- Efficient And Robust Approximate Nearest Neighbor Search Using Hierarchical Navigable Small World Graphs (2016)Yu. A. Malkov, D. A. Yashunin22.99
- K-nearest Neighbour Classifiers: 2nd Edition (with Python Examples) (2020)Padraig Cunningham, Sarah Jane Delany21.43
- The Case For Learned Index Structures (2017)Tim Kraska, Alex Beutel, Ed H. Chi, et al.21.00
- Distance And Similarity Measures Effect On The Performance Of K-nearest Neighbor Classifier -- A Review (2017)V. B. Surya Prasath, Haneen Arafat Abu Alfeilat, Ahmad B. A. Hassanat, et al.20.24
- Explaining The Success Of Nearest Neighbor Methods In Prediction (2025)George H. Chen, Devavrat Shah18.63
- Visualizing Large-scale And High-dimensional Data (2016)Jian Tang, Jingzhou Liu, Ming Zhang, et al.18.48
- Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph (2017)Cong Fu, Chao Xiang, Changxu Wang, et al.18.20
- A Comprehensive Survey And Experimental Comparison Of Graph-based Approximate Nearest Neighbor Search (2021)Mengzhao Wang, Xiaoliang Xu, Qiang Yue, et al.17.35
- High Dimensional Similarity Search With Satellite System Graph: Efficiency, Scalability, And Unindexed Query Compatibility (2019)Cong Fu, Changxu Wang, Deng Cai17.30
- Efficient Task-specific Data Valuation For Nearest Neighbor Algorithms (2019)Ruoxi Jia, David Dao, Boxin Wang, et al.15.75
- A Note On "efficient Task-specific Data Valuation For Nearest Neighbor Algorithms" (2023)Jiachen T. Wang, Ruoxi Jia15.75
- Dataset Discovery In Data Lakes (2020)Alex Bogatu, Alvaro A. A. Fernandes, Norman W. Paton, et al.15.28
- Ann-benchmarks: A Benchmarking Tool For Approximate Nearest Neighbor Algorithms (2018)Martin Aumüller, Erik Bernhardsson, Alexander Faithfull14.73
- Target Before Shooting: Accurate Anomaly Detection And Localization Under One Millisecond Via Cascade Patch Retrieval (2023)Hanxi Li, Jianfei Hu, Bo Li, et al.14.62
- Hd-index: Pushing The Scalability-accuracy Boundary For Approximate Knn Search In High-dimensional Spaces (2018)Akhil Arora, Sakshi Sinha, Piyush Kumar, et al.14.02
- High-dimensional Approximate Nearest Neighbor Search: With Reliable And Efficient Distance Comparison Operations (2023)Jianyang Gao, Cheng Long13.44
- KNN Classification With One-step Computation (2020)Shichao Zhang, Jiaye Li13.34
- Learning Similarity Measures From Data (2020)Bjørn Magnus Mathisen, Agnar Aamodt, Kerstin Bach, et al.12.68
- Starling: An I/o-efficient Disk-resident Graph Index Framework For High-dimensional Vector Similarity Search On Data Segment (2024)Mengzhao Wang, Weizhi Xu, Xiaomeng Yi, et al.12.61
- Refining A \(k\)-nearest Neighbor Graph For A Computationally Efficient Spectral Clustering (2023)Mashaan Alshammari, John Stavrakakis, Masahiro Takatsuka12.25
- Learnable Locality-sensitive Hashing For Video Anomaly Detection (2021)Yue Lu, Congqi Cao, Yanning Zhang12.02
- A Memory-efficient Sketch Method For Estimating High Similarities In Streaming Sets (2019)Pinghui Wang, Yiyan Qi, Yuanming Zhang, et al.12.02
- ACORN: Performant And Predicate-agnostic Search Over Vector Embeddings And Structured Data (2024)Liana Patel, Peter Kraft, Carlos Guestrin, et al.11.76
- Optimal Hashing-based Time-space Trade-offs For Approximate Near Neighbors (2016)Alexandr Andoni, Thijs Laarhoven, Ilya Razenshteyn, et al.11.29
- Accelerating Large-scale Graph-based Nearest Neighbor Search On A Computational Storage Platform (2022)Ji-Hoon Kim, Yeo-Reum Park, Jaeyoung Do, et al.11.29
- A Revisit Of Hashing Algorithms For Approximate Nearest Neighbor Search (2016)Deng Cai11.19
- Fast Subtrajectory Similarity Search In Road Networks Under Weighted Edit Distance Constraints (2020)Satoshi Koide, Chuan Xiao, Yoshiharu Ishikawa11.19
- Approximate K-nn Graph Construction: A Generic Online Approach (2018)Wan-Lei Zhao, Hui Wang, Chong-Wah Ngo11.08
- A Distributed And Approximated Nearest Neighbors Algorithm For An Efficient Large Scale Mean Shift Clustering (2019)Gaël Beck, Tarn Duong, Mustapha Lebbah, et al.10.85
- Indexing Metric Spaces For Exact Similarity Search (2020)Lu Chen, Yunjun Gao, Xuan Song, et al.10.85
- FINGER: Fast Inference For Graph-based Approximate Nearest Neighbor Search (2022)Patrick H. Chen, Chang Wei-Cheng, Yu Hsiang-Fu, et al.10.74
- Set Similarity Search Beyond Minhash (2016)Tobias Christiani, Rasmus Pagh10.74
- Learning To Index For Nearest Neighbor Search (2018)Chih-Yi Chiu, Amorntip Prayoonwong, Yin-Chih Liao10.35
- Parlayann: Scalable And Deterministic Parallel Graph-based Approximate Nearest Neighbor Search Algorithms (2023)Magdalen Dobson Manohar, Zheqi Shen, Guy E. Blelloch, et al.10.35
- Elastic Bands Across The Path: A New Framework And Methods To Lower Bound DTW (2018)Chang Wei Tan, Francois Petitjean, Geoffrey I. Webb10.35
- Hilbert Exclusion: Improved Metric Search Through Finite Isometric Embeddings (2016)Richard Connor, Franco Alberto Cardillo, Lucia Vadicamo, et al.10.07
- Lightweight-yet-efficient: Revitalizing Ball-tree For Point-to-hyperplane Nearest Neighbor Search (2023)Qiang Huang, Anthony K. H. Tung10.01
- Probminhash -- A Class Of Locality-sensitive Hash Algorithms For The (probability) Jaccard Similarity (2019)Otmar Ertl9.92
- Asymmetric Learning Vector Quantization For Efficient Nearest Neighbor Classification In Dynamic Time Warping Spaces (2017)Brijnesh Jain, David Schultz9.92
- DET-LSH: A Locality-sensitive Hashing Scheme With Dynamic Encoding Tree For Approximate Nearest Neighbor Search (2024)Jiuqi Wei, Botao Peng, Xiaodong Lee, et al.9.92
- Privacy Preserving Identification Using Sparse Approximation With Ambiguization (2017)Behrooz Razeghi, Slava Voloshynovskiy, Dimche Kostadinov, et al.9.76
- HQANN: Efficient And Robust Similarity Search For Hybrid Queries With Structured And Unstructured Constraints (2022)Wei Wu, Junlin He, Yu Qiao, et al.9.76
- On The Optimal Time/space Tradeoff For Hash Tables (2021)Michael A. Bender, Martín Farach-Colton, John Kuszmaul, et al.9.59
- Pigeonring: A Principle For Faster Thresholded Similarity Search (2018)Jianbin Qin, Chuan Xiao9.59
- Monotonic Cardinality Estimation Of Similarity Selection: A Deep Learning Approach (2020)Yaoshu Wang, Chuan Xiao, Jianbin Qin, et al.9.59
- GB-KMV: An Augmented KMV Sketch For Approximate Containment Similarity Search (2018)Yang Yang, Ying Zhang, Wenjie Zhang, et al.9.59
- Fast Similarity Sketching (2017)Søren Dahlgaard, Mathias Bæk Tejs Langhede, Jakob Bæk Tejs Houen, et al.9.41
- A Resource-frugal Probabilistic Dictionary And Applications In Bioinformatics (2017)Camille Marchet, Lolita Lecompte, Antoine Limasset, et al.9.41
- FLASH: Randomized Algorithms Accelerated Over CPU-GPU For Ultra-high Dimensional Similarity Search (2017)Yiqiu Wang, Anshumali Shrivastava, Jonathan Wang, et al.9.23
- Parameter-free Locality Sensitive Hashing For Spherical Range Reporting (2016)Thomas D. Ahle, Martin Aumüller, Rasmus Pagh9.03