Skip to main navigation
Skip to search
Skip to main content
The Hebrew University of Jerusalem Home
Approve / Request updates on publications
Home
Profiles
Research units
Research output
Prizes
Search by expertise, name or affiliation
Fair Principal Component Analysis and Filter Design
Gad Zalcberg
*
,
Ami Wiesel
*
Corresponding author for this work
The Rachel and Selim Benin School of Engineering and Computer Science
Research output
:
Contribution to journal
›
Article
›
peer-review
9
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Fair Principal Component Analysis and Filter Design'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Principal Coordinate Analysis (PCoA)
100%
Analysis Design
100%
Filter Design
100%
Multi-target
16%
Dimensionality Reduction
16%
Low-dimensional Subspace
16%
Signal Processing
16%
Globally Optimal
16%
Local Minima
16%
Semidefinite Programming
16%
Nonconcave
16%
Suboptimal Solutions
16%
Subgradient Descent
16%
Adaptive Tight Frame
16%
Reduction Strategies
16%
Rank-reduction Method
16%
Targeting Vector
16%
Engineering
Principal Components
100%
Component Analysis
100%
Filter Design
100%
Multiple Target
16%
Dimensionality
16%
Maximization
16%
Local Minimum
16%
Dimensional Subspace
16%
Gradient Descent
16%
Mathematics
Principal Component Analysis
100%
Dimensional Subspace
16%
Local Minimum
16%
Dimensionality Reduction
16%
Tight Frame
16%
Reduction Method
16%
Orthogonal Case
16%
Signal Processing
16%