2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information
Login Paper Search My Schedule Paper Index Help

My ICASSP 2021 Schedule

Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.
  1. Create a login based on your email (takes less than one minute)
  2. Perform 'Paper Search'
  3. Select papers that you desire to save in your personalized schedule
  4. Click on 'My Schedule' to see the current list of selected papers
  5. Click on 'Printable Version' to create a separate window suitable for printing (the header and menu will appear, but will not actually print)

Paper Detail

Paper IDSPTM-6.6
Paper Title COUNT SKETCH WITH ZERO CHECKING: EFFICIENT RECOVERY OF HEAVY COMPONENTS
Authors Guanqiang Zhou, Zhi Tian, George Mason University, United States
SessionSPTM-6: Sampling, Multirate Signal Processing and Digital Signal Processing 2
LocationGather.Town
Session Time:Tuesday, 08 June, 16:30 - 17:15
Presentation Time:Tuesday, 08 June, 16:30 - 17:15
Presentation Poster
Topic Signal Processing Theory and Methods: [SMDSP] Sampling, Multirate Signal Processing and Digital Signal Processing
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract The problem of recovering heavy components of a high-dimensional vector from compressed data is of great interest in broad applications, such as feature extraction under scarce computing memory and distributed learning under limited bandwidth. Recently, a compression algorithm called count sketch has gained wide popularity to recover heavy components in various fields. In this paper, we carefully analyze count sketch and illustrate that its default recovery method, namely median filtering, has a distinct error pattern of reporting false positives. To counteract this error pattern, we propose a new scheme called zero checking which adopts a two-step recovery approach to improve the probability of detecting false positives. Our proposed technique builds on rigorous error analysis, which enables us to optimize the selection of a key design parameter for maximum performance gain. The empirical results show that our scheme achieves better recovery accuracy than median filtering and requires less samples to accurately recover heavy components.