Algorithms for clustering data
Algorithms for clustering data
The nature of statistical learning theory
The nature of statistical learning theory
Machine Learning
Making large-scale support vector machine learning practical
Advances in kernel methods
An Algorithm that Learns What‘s in a Name
Machine Learning - Special issue on natural language learning
Seeing the whole in parts: text summarization for web browsing on handheld devices
Proceedings of the 10th international conference on World Wide Web
OCTOPUS: aggressive search of multi-modality data using multifaceted knowledge base
Proceedings of the 11th international conference on World Wide Web
Locating and Recognizing Text in WWW Images
Information Retrieval
Flexible Web Document Analysis for Delivery to Narrow-Bandwidth Devices
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
WebSeer: An Image Search Engine for the World Wide Web
WebSeer: An Image Search Engine for the World Wide Web
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 04
A Novel Context Matching Based Technique for Web Document Retrieval
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
WebInSight:: making web images accessible
Proceedings of the 8th international ACM SIGACCESS conference on Computers and accessibility
Searching for logo and trademark images on the web
Proceedings of the 6th ACM international conference on Image and video retrieval
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The World Wide Web provides an increasingly powerfuland popular publication mechanism. Web documents oftencontain a large number of images serving various differentpurposes. This paper focuses on images that are associatedwith a story or preview to a story. Such images often accompanythe key content on a web page, thus their identificationis important for applications such as web page summarizationand mobile access. We present a novel algorithmfor automatic identification of story/preview images whichcombines features extracted from both the image itself andthe surrounding text. The effectiveness of this algorithm isdemonstrated by experimental results on over 1500 imagescollected from 25 news web sites.