B
Byron Dom
Researcher at Yahoo!
Publications - 80
Citations - 14056
Byron Dom is an academic researcher from Yahoo!. The author has contributed to research in topics: Image segmentation & The Internet. The author has an hindex of 35, co-authored 80 publications receiving 13923 citations. Previous affiliations of Byron Dom include IBM.
Papers
More filters
Journal ArticleDOI
Query by image and video content: the QBIC system
Myron D. Flickner,Harpreet Sawhney,W. Niblack,Jonathan Ashley,Qian Huang,Byron Dom,Monika Gorkani,James Lee Hafner,D. Lee,Dragutin Petkovic,David Steele,Peter Cornelius Yanker +11 more
TL;DR: The Query by Image Content (QBIC) system as discussed by the authors allows queries on large image and video databases based on example images, user-constructed sketches and drawings, selected color and texture patterns, camera and object motion, and other graphical information.
Journal ArticleDOI
Focused crawling: a new approach to topic-specific Web resource discovery
TL;DR: A new hypertext resource discovery system called a Focused Crawler that is robust against large perturbations in the starting set of URLs, and capable of exploring out and discovering valuable resources that are dozens of links away from the start set, while carefully pruning the millions of pages that may lie within this same radius.
Proceedings Article
Query by image and video content: the QBIC system
Myron D. Flickner,Harpreet Sawhney,W. Niblack,Jonathan Ashley,Qian Huang,Byron Dom,Monika Gorkani,James Lee Hafner,D. Lee,Dragutin Petkovic,David Steele,Peter Cornelius Yanker +11 more
TL;DR: The Query by Image Content (QBIC) system as mentioned in this paper allows queries on large image and video databases based on example images, user-constructed sketches and drawings, selected color and texture patterns, camera and object motion, and other graphical information.
Proceedings ArticleDOI
Enhanced hypertext categorization using hyperlinks
TL;DR: This work has developed a text classifier that misclassified only 13% of the documents in the well-known Reuters benchmark; this was comparable to the best results ever obtained and its technique also adapts gracefully to the fraction of neighboring documents having known topics.
Journal ArticleDOI
Automatic resource compilation by analyzing hyperlink structure and associated text
Soumen Chakrabarti,Byron Dom,Prabhakar Raghavan,Sridhar Rajagopalan,David Gibson,Jon Kleinberg +5 more
TL;DR: An evaluation of ARC suggests that the resources found by ARC frequently fare almost as well as, and sometimes better than, lists of resources that are manually compiled or classified into a topic.