Purdy Ho
Impact in
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- Face and Expression Recognition
- Face recognition and analysis
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Signal Processing top 5%
- Biometric Identification and Security
- Speech and Audio Processing
- Music and Audio Processing
Papers in
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- Face recognition and analysis 3
- Face and Expression Recognition 2
- Handwritten Text Recognition Techniques 1
- Video Analysis and Summarization 1
- Advanced Image and Video Retrieval Techniques 1
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- Speech and Audio Processing 4
- Music and Audio Processing 3
- Co-authors
- Tomaso Poggio (3 shared papers)Bernd Heisele (3 shared papers)Pedro J. Moreno (3 shared papers)Nuno Vasconcelos (1 shared paper)Jane Y. Wu (1 shared paper)Eugene Weinstein (1 shared paper)Anant Agarwal (1 shared paper)Pedro Moreno (1 shared paper)
- Journals
- Computer Vision and Image Understanding (1 paper)The Journal of the Acoustical Society of America (1 paper)Neural Information Processing Systems (1 paper)Defense Technical Information Center (DTIC) (1 paper)
- Partner nations
- United States
In The Last Decade
Purdy Ho
7 papers receiving 727 citations
Peers
Comparison fields: 5 of 83
- Computer Vision and Pattern Recognition 620
- Signal Processing 242
- Computational Mathematics 8
- Media Technology 68
- Artificial Intelligence 236
Countries citing papers authored by Purdy Ho
This map shows the geographic impact of Purdy Ho's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Purdy Ho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Purdy Ho more than expected).
Fields of papers citing papers by Purdy Ho
This network shows the impact of papers produced by Purdy Ho. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Purdy Ho. The network helps show where Purdy Ho may publish in the future.
Co-authors
The 8 scholars most cited alongside Purdy Ho, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A Kullback-Leibler Divergence Based Kernel for SVM Classification in Multimedia Applications | 2003 | 263 |
| 2 | 2003 | 261 | |
| 3 | 2002 | 260 | |
| 4 | 2003 | 31 | |
| 5 | Handheld Face Identification Technology in a Pervasive Computing Environment | 2002 | 11 |
| 6 | A Generative Model Based Kernel for SVM Classification in Multimedia Applications | 2004 | 4 |
| 7 | 2004 | 3 | |
| 8 | 2006 | 0 |
About Purdy Ho
Purdy Ho is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Electrical and Electronic Engineering and Infectious Diseases, having authored 8 papers that have together received 833 indexed citations. Recurring topics across this work include Speech and Audio Processing (4 papers), Speech Recognition and Synthesis (4 papers), Face recognition and analysis (3 papers), Music and Audio Processing (3 papers), Face and Expression Recognition (2 papers), Handwritten Text Recognition Techniques (1 paper), Video Analysis and Summarization (1 paper) and Advanced Image and Video Retrieval Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (620 citations), Signal Processing (242 citations), Computational Mathematics (8 citations), Media Technology (68 citations) and Artificial Intelligence (236 citations). Purdy Ho has collaborated with scholars based in United States. Frequent co-authors include Tomaso Poggio, Bernd Heisele, Pedro J. Moreno, Nuno Vasconcelos, Jane Y. Wu, Eugene Weinstein, Anant Agarwal and Pedro Moreno. Their work appears in journals such as Computer Vision and Image Understanding, The Journal of the Acoustical Society of America, Neural Information Processing Systems and Defense Technical Information Center (DTIC).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.