On Finding Hubs in High Dimensions with Sampling.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
Scalable Density-based Clustering with Random Projections.
CoRR, 2024
Scalable DBSCAN with Random Projections.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
On Deploying Mobile Deep Learning to Segment COVID-19 PCR Test Tube Images.
Proceedings of the Image and Video Technology - 11th Pacific-Rim Symposium, 2023
A Transductive Forest for Anomaly Detection with Few Labels.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
An Efficient Hashing-based Ensemble Method for Collaborative Outlier Detection.
CoRR, 2022
Falconn++: A Locality-sensitive Filtering Approach for Approximate Nearest Neighbor Search.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Simple Yet Efficient Algorithms for Maximum Inner Product Search via Extreme Order Statistics.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Revisiting Wedge Sampling for Budgeted Maximum Inner Product Search (Extended Abstract).
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Sublinear Maximum Inner Product Search using Concomitants of Extreme Order Statistics.
CoRR, 2020
Revisiting Wedge Sampling for Budgeted Maximum Inner Product Search.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020
L1-Depth Revisited: A Robust Angle-Based Outlier Factor in High-Dimensional Space.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
I/O-Efficient Similarity Join.
Algorithmica, 2017
Hybrid LSH: Faster Near Neighbors Reporting in High-dimensional Space.
Proceedings of the 20th International Conference on Extending Database Technology, 2017
Scalability and Total Recall with Fast CoveringLSH.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
Efficient estimation for high similarities using odd sketches.
Proceedings of the 23rd International World Wide Web Conference, 2014
Fast and scalable polynomial kernels via explicit feature maps.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
A near-linear time approximation algorithm for angle-based outlier detection in high-dimensional data.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012
Online Discovery of Top-k Similar Motifs in Time Series Data.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011
Two Novel Adaptive Symbolic Representations for Similarity Search in Time Series Databases.
Proceedings of the Advances in Web Technologies and Applications, 2010
HOT <i>a</i>SAX: A Novel Adaptive Symbolic Representation for Time Series Discords Discovery.
Proceedings of the Intelligent Information and Database Systems, 2010