Reliable, efficient and light distance computation on high-dimensional vectors
The great advances in deep learning enable human beings to extract the semantic information in ubiquitous unstructured data into high-dimensional vectors, leading to an urgent priority of managing vector data. Nearest neighbor (NN) query is a pivotal question in vector data management. Unfortunately...
Main Author: | Gao, Jianyang |
---|---|
Other Authors: | Long Cheng |
Format: | Thesis-Doctor of Philosophy |
Language: | English |
Published: |
Nanyang Technological University
2025
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/182813 |
Similar Items
-
Virtual Visual Hulls: Example-Based 3D Shape Estimation from a Single Silhouette
by: Grauman, Kristen, et al.
Published: (2005) -
Virtual Visual Hulls: Example-Based 3D Shape Estimation from a Single Silhouette
by: Grauman, Kristen, et al.
Published: (2004) -
Tiny images
by: Torralba, Antonio, et al.
Published: (2007) -
New LSH-based Algorithm for Approximate Nearest Neighbor
by: Andoni, Alexandr, et al.
Published: (2005) -
Fast Pose Estimation with Parameter Sensitive Hashing
by: Shakhnarovich, Gregory, et al.
Published: (2004)