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Computer Science

D-Index
47
Citations
7543
World Ranking
6581
National Ranking
2908

Overview

Dar-Shyang Lee is a researcher affiliated with Google in the United States. Their work spans multiple fields of study, focusing primarily on computer science alongside contributions to biochemistry, genetics, and molecular biology.

The main areas of their research include artificial intelligence, computer vision and pattern recognition, and cancer research. Their work encompasses topics such as domain adaptation and few-shot learning, multimodal machine learning applications, and cancer-related molecular mechanisms.

Recent publications demonstrate a focus on domain adaptation methodologies. Notably, Lee co-authored the paper titled Domain Conditional Predictors for Domain Adaptation, published in 2021 in arXiv (Cornell University).

  • Domain Conditional Predictors for Domain Adaptation (2021, arXiv [Cornell University])

Frequent co-authors include João Monteiro, Xavier Gibert, Jianqiao Feng, and Vincent Dumoulin, indicating collaborative work in related research areas.

  • João Monteiro
  • Xavier Gibert
  • Jianqiao Feng
  • Vincent Dumoulin

Lee's publications have appeared in venues such as arXiv (Cornell University), reflecting engagement with open-access research dissemination platforms.

  • arXiv (Cornell University)

Their research integrates techniques from artificial intelligence and machine learning to address challenges in both computational and biomedical domains. This interdisciplinary approach bridges system-level computational methods with molecular biology, particularly in exploring cancer-related mechanisms.

Best Publications

  • Effective Gaussian mixture learning for video background subtraction

    Dar-Shyang Lee

  • Method and system for information management to facilitate the exchange of ideas during a collaborative effort

    Dar-Shyang Lee;Jonathan J. Hull;Jamey Graham;Pamela Gage

  • Triggering applications based on a captured text in a mixed media environment

    Jonathan J. Hull;Berna Erol;Jamey Graham;Peter E. Hart

  • Multimodal access of meeting recordings

    Berna Erol;Jamey Graham;Jonathan J. Hull;Dar-Shyang Lee

  • Method and device for pursuing document in workflow

    Shan Rii Daa;Jamey Graham;Jonathan J Hull;Hideki Segawa

  • METHOD, SYSTEM, AND DEVICE FOR DIGITAL INFORMATION PROCESSING

    Erol Berna;Hull Jonathan J;Daa Shan Rii

  • System And Methods For Creation And Use Of A Mixed Media Environment

    Jonathan J. Hull;Berna Erol;Jamey Graham;Peter E. Hart

  • Compressed document matching

    Dar-Shyang Lee;Johnathan Hull

  • Attention-Based Extraction of Structured Information from Street View Imagery

    Zbigniew Wojna;Alexander N. Gorban;Dar-Shyang Lee;Kevin Murphy

  • A Bayesian framework for Gaussian mixture background modeling

    Dar-Shyang Lee;J.J. Hull;B. Erol

  • Adapting the Tesseract open source OCR engine for multilingual OCR

    Ray Smith;Daria Antonova;Dar-Shyang Lee

  • Region of Interest Selector for Visual Queries

    David Petrou;Zak Cohen;Pin Ting;Dar-Shyang Lee

  • Method And System For Document Fingerprint Matching In A Mixed Media Environment

    Jonathan J. Hull;Berna Erol;Peter E. Hart;Dar-Shyang Lee

  • METHOD OF COMPARING IMAGE CONTENTS, AND COMPUTER SYSTEM

    Erol Berna;Hull Jonathan J;Daa Shan Rii

  • Linking multimedia presentations with their symbolic source documents: algorithm and applications

    Berna Erol;Jonathan J. Hull;Dar-Shyang Lee

  • A theory of classifier combination: the neural network approach

    Dar-Shyang Lee;S.N. Srihari

  • Triggering actions with captured input in a mixed media environment

    Jonathan J. Hull;Berna Erol;Jamey Graham;Peter E. Hart

  • Techniques for using an image for the retrieval of television program information

    Berna Erol;Jonathan J. Hull;Dar-Shyang Lee

  • Method and system for image matching in a mixed media environment

    Jonathan J. Hull;Kurt Piersol;Berna Erol;Peter E. Hart

  • Visualizing multimedia content on paper documents: components of key frame selection for Video Paper

    J.J. Hull;B. Erol;J. Graham;Dar-Shyang Lee

Frequent Co-Authors

Jonathan J. Hull
Jonathan J. Hull Independent Scientist / Consultant, US
Berna Erol
Berna Erol Ricoh (Japan)
Jamey Graham
Jamey Graham Ricoh (Japan)
Peter E. Hart
Peter E. Hart Independent Scientist / Consultant, US
Kurt Piersol
Kurt Piersol Apple (United States)
Gregory J. Wolff
Gregory J. Wolff UnaMesa Association
Sargur N. Srihari
Sargur N. Srihari University at Buffalo, State University of New York
Luc Vincent
Luc Vincent Google (United States)
Venu Govindaraju
Venu Govindaraju University at Buffalo, State University of New York

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