Ninh Pham

According to our database, Ninh Pham authored at least 19 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Scalable Density-based Clustering with Random Projections.

Haochuan Xu, Ninh Pham

CoRR, 2024

2023

On Deploying Mobile Deep Learning to Segment COVID-19 PCR Test Tube Images.

Ting Xiang, Richard Dean, Jiawei Zhao, Ninh Pham

Proceedings of the Image and Video Technology - 11th Pacific-Rim Symposium, 2023

A Transductive Forest for Anomaly Detection with Few Labels.

Jingrui Zhang, Ninh Pham, Gillian Dobbie

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

2022

An Efficient Hashing-based Ensemble Method for Collaborative Outlier Detection.

Kitty Li, Ninh Pham

CoRR, 2022

Falconn++: A Locality-sensitive Filtering Approach for Approximate Nearest Neighbor Search.

Ninh Pham, Tao Liu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Simple Yet Efficient Algorithms for Maximum Inner Product Search via Extreme Order Statistics.

Ninh Pham

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).

Stephan Sloth Lorenzen, Ninh Pham

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Sublinear Maximum Inner Product Search using Concomitants of Extreme Order Statistics.

Ninh Pham

CoRR, 2020

Revisiting Wedge Sampling for Budgeted Maximum Inner Product Search.

Stephan Sloth Lorenzen, Ninh Pham

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

2018

L1-Depth Revisited: A Robust Angle-Based Outlier Factor in High-Dimensional Space.

Ninh Pham

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

2017

I/O-Efficient Similarity Join.

Rasmus Pagh, Ninh Pham, Francesco Silvestri, Morten Stöckel

Algorithmica, 2017

Hybrid LSH: Faster Near Neighbors Reporting in High-dimensional Space.

Ninh Pham

Proceedings of the 20th International Conference on Extending Database Technology, 2017

2016

Scalability and Total Recall with Fast CoveringLSH.

Ninh Pham, Rasmus Pagh

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2014

Efficient estimation for high similarities using odd sketches.

Michael Mitzenmacher, Rasmus Pagh, Ninh Pham

Proceedings of the 23rd International World Wide Web Conference, 2014

2013

Fast and scalable polynomial kernels via explicit feature maps.

Ninh Pham, Rasmus Pagh

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

2012

A near-linear time approximation algorithm for angle-based outlier detection in high-dimensional data.

Ninh Pham, Rasmus Pagh

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

2011

Online Discovery of Top-k Similar Motifs in Time Series Data.

Hoang Thanh Lam, Toon Calders, Ninh Pham

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

2010

Two Novel Adaptive Symbolic Representations for Similarity Search in Time Series Databases.

Ninh D. Pham, Quang Loc Le, Tran Khanh Dang

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.

Ninh D. Pham, Quang Loc Le, Tran Khanh Dang

Proceedings of the Intelligent Information and Database Systems, 2010