Ninh Pham

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 16

Top Topics

Approximate Nearest Neighbor

Top Venues

Publications

Haochuan Xu, Ninh Pham
Scalable Density-based Clustering with Random Projections. CoRR (2024)
Ting Xiang, Richard Dean, Jiawei Zhao, Ninh Pham
On Deploying Mobile Deep Learning to Segment COVID-19 PCR Test Tube Images. PSIVT (2023)
Kitty Li, Ninh Pham
An Efficient Hashing-based Ensemble Method for Collaborative Outlier Detection. CoRR (2022)
Ninh Pham, Tao Liu
Falconn++: A Locality-sensitive Filtering Approach for Approximate Nearest Neighbor Search. CoRR (2022)
Ninh Pham, Tao Liu
Falconn++: A Locality-sensitive Filtering Approach for Approximate Nearest Neighbor Search. NeurIPS (2022)
Stephan S. Lorenzen, Ninh Pham
Revisiting Wedge Sampling for Budgeted Maximum Inner Product Search (Extended Abstract). IJCAI (2021)
Ninh Pham
Simple Yet Efficient Algorithms for Maximum Inner Product Search via Extreme Order Statistics. KDD (2021)
Stephan S. Lorenzen, Ninh Pham
Revisiting Wedge Sampling for Budgeted Maximum Inner Product Search. ECML/PKDD (1) (2020)
Ninh Pham
Sublinear Maximum Inner Product Search using Concomitants of Extreme Order Statistics. CoRR (2020)
Stephan S. Lorenzen, Ninh Pham
Revisiting Wedge Sampling for Budgeted Maximum Inner Product Search. CoRR (2019)
Ninh Pham
L1-Depth Revisited: A Robust Angle-Based Outlier Factor in High-Dimensional Space. ECML/PKDD (1) (2018)
Ninh Pham
Hybrid LSH: Faster Near Neighbors Reporting in High-dimensional Space. EDBT (2017)
Rasmus Pagh, Ninh Pham, Francesco Silvestri, Morten Stöckel
I/O-Efficient Similarity Join. Algorithmica 78 (4) (2017)
Ninh Pham
Hybrid LSH: Faster Near Neighbors Reporting in High-dimensional Space. CoRR (2016)
Ninh Pham, Rasmus Pagh
Scalability and Total Recall with Fast CoveringLSH. CIKM (2016)
Ninh Pham, Rasmus Pagh
Scalability and Total Recall with Fast CoveringLSH. CoRR (2016)
Rasmus Pagh, Ninh Pham, Francesco Silvestri, Morten Stöckel
I/O-Efficient Similarity Join. CoRR (2015)
Rasmus Pagh, Ninh Pham, Francesco Silvestri, Morten Stöckel
I/O-Efficient Similarity Join. ESA (2015)
Michael Mitzenmacher, Rasmus Pagh, Ninh Pham
Efficient estimation for high similarities using odd sketches. WWW (2014)
Ninh Pham, Rasmus Pagh
Fast and scalable polynomial kernels via explicit feature maps. KDD (2013)
Ninh Pham, Rasmus Pagh
A near-linear time approximation algorithm for angle-based outlier detection in high-dimensional data. KDD (2012)
Hoang Thanh Lam, Toon Calders, Ninh Pham
Online Discovery of Top-k Similar Motifs in Time Series Data. SDM (2011)