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Haim Schweitzer
Visual Data Analysis
Image Processing
Data Representations
Machine Learning
Computer Vision
About
Haim Schweitzer, Ph.D. is a Professor of Computer Science at The University of Texas at Dallas. He earned his Ph.D. in Computer Science from Hebrew University and his B.S. in Mathematics & Computer Science from Tel Aviv University. His research interests include computer vision, machine learning, data representations, and related Internet technology. He has been recognized with teaching awards and has led sponsored research projects in visual data analysis and image processing.
Research Performance Summary
1983-2025
Active Research Span
First Recorded Paper
Pictures as elements in a vector space
Year:
1983
Citations:
26
Venue:
Proc. of Computer Vision and Pattern Recognition
Latest Recorded Paper
Multi-View Unsupervised Column Subset Selection via Combinatorial Search (Student Abstract)
Year:
2025
Citations:
0
Venue:
Proceedings of the AAAI Conference on Artificial Intelligence 39 (28), 29521
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.
Publication Venues and Collaboration
Journal, Conference, and Book Publication Breakdown
Top Coauthors
Schweitzer
Shvaytser
Wan
Research Impact by Period
Papers
1
Citations
0
Avg. Citations / Paper
0
H-Index
0
Papers
15
Citations
58
Avg. Citations / Paper
3.9
H-Index
4
Papers
11
Citations
172
Avg. Citations / Paper
15.6
H-Index
6
Papers
4
Citations
77
Avg. Citations / Paper
19.2
H-Index
3
Papers
4
Citations
18
Avg. Citations / Paper
4.5
H-Index
2
Papers
6
Citations
393
Avg. Citations / Paper
65.5
H-Index
5
Papers
19
Citations
138
Avg. Citations / Paper
7.3
H-Index
7
Papers
7
Citations
282
Avg. Citations / Paper
40.3
H-Index
4
Papers
12
Citations
94
Avg. Citations / Paper
7.8
H-Index
5
Papers
1
Citations
26
Avg. Citations / Paper
26
H-Index
1
Contact and Professional Links
Detected Research Keywords
Column Subset Selection
Principal Component Analysis
Unsupervised Feature Selection
Matrix Terms Another
Terms Another Matrix
Dct Representation Digital
Representation Digital Video
Robust Principal Component
Selection Heuristic Search
Provable Bounds Suboptimality