@conference {12304,
	title = {Cooperative peer groups in NICE},
	booktitle = {INFOCOM 2003. Twenty-Second Annual Joint Conference of the IEEE Computer and Communications. IEEE Societies},
	volume = {2},
	year = {2003},
	month = {2003///},
	pages = {1272 - 1282 vol.2 - 1272 - 1282 vol.2},
	abstract = {A distributed scheme for trust inference in peer-to-peer networks is presented. Our work is in context of the NICE system, which is a platform for implementing cooperative applications over the Internet. We describe a technique for efficiently storing user reputation information in a completely decentralized manner, and show how this information can be used to efficiently identify noncooperative users in NICE. We present a simulation based study of our algorithms, in which we show our scheme scales to thousands of users using modest amounts of storage, processing, and bandwidth at any individual node. Lastly, we show that our scheme is robust and can form cooperative groups in systems where the vast majority of users are malicious.},
	keywords = {algorithm;, cooperative, decentralized, distributed, identification;, individual, inference, inference;, information, Internet;, malicious, manner;, mechanisms;, networks;, NICE, node;, noncooperative, peer-to-peer, platform;, reputation, retrieval;, storage;, system;, trust, users, users;},
	doi = {10.1109/INFCOM.2003.1208963},
	author = {Lee,S. and Sherwood,R. and Bhattacharjee, Bobby}
}
@conference {13638,
	title = {Robust table-form structure analysis based on box-driven reasoning},
	booktitle = {Document Analysis and Recognition, 1995., Proceedings of the Third International Conference on},
	volume = {1},
	year = {1995},
	month = {1995/08//},
	pages = {218 -221 vol.1 - 218 -221 vol.1},
	abstract = {Table form document structure analysis is an important problem in the document processing domain. The paper presents a method called Box Driven Reasoning (BDR) to robustly analyze the structure of table form documents which include touching characters and broken lines. Most previous methods employ a line oriented approach. Real documents are copied repeatedly and overlaid with printed data, resulting in characters which touch cells and lines which are broken. BDR deals with regions directly, in contrast with other previous methods. Experimental tests show that BDR reliably recognizes cells and strings in document images with touching characters and broken lines},
	keywords = {analysis;table, analysis;touching, BDR;box, characters;character, document, domain;robust, driven, form, image, images;document, lines;document, mechanisms;, PROCESSING, processing;inference, reasoning;broken, recognition;data, structure, structures;document, table},
	doi = {10.1109/ICDAR.1995.598980},
	author = {Hori,O. and David Doermann}
}
