Results 1 - 10 of 2,633

Gradient-based learning applied to document recognition

by Yann Lecun, Léon Bottou, Yoshua Bengio, Patrick Haffner - Proceedings of the IEEE , 1998
"... Multilayer neural networks trained with the back-propagation algorithm constitute the best example of a successful gradientbased learning technique. Given an appropriate network architecture, gradient-based learning algorithms can be used to synthesize a complex decision surface that can classify hi ..."
Abstract - Cited by 1533 (84 self) - Add to MetaCart
to deal with the variability of two dimensional (2-D) shapes, are shown to outperform all other techniques. Real-life document recognition systems are composed of multiple modules including field extraction, segmentation, recognition, and language modeling. A new learning paradigm, called graph

Fab: Content-based, collaborative recommendation

by Marko Balabanovic, Yoav Shoham - Communications of the ACM , 1997
"... Fab is a recommendation system designed to help users sift through the enormous amount of information available in the World Wide Web. Operational since Dec. 1994, this system combines the content-based and collaborative methods of recommendation in a way that exploits the advantages of the two appr ..."
Abstract - Cited by 682 (0 self) - Add to MetaCart
approaches while avoiding their shortcomings. Fab’s hybrid structure allows for automatic recognition of emergent issues relevant to various groups of users. It also enables two scaling problems, pertaining to the rising number of users and documents, to be addressed. © COPYRIGHT 1997 Association

Video google: A text retrieval approach to object matching in videos

by Josef Sivic, Andrew Zisserman - In ICCV , 2003
"... We describe an approach to object and scene retrieval which searches for and localizes all the occurrences of a user outlined object in a video. The object is represented by a set of viewpoint invariant region descriptors so that recognition can proceed successfully despite changes in viewpoint, ill ..."
Abstract - Cited by 1636 (42 self) - Add to MetaCart
-computed (using vector quantization), and inverted file systems and document rankings are used. The result is that retrieval is immediate, returning a ranked list of key frames/shots in the manner of Google. The method is illustrated for matching on two full length feature films. 1.

N-grambased text categorization

by William B. Cavnar, John M. Trenkle - In Proc. of SDAIR-94, 3rd Annual Symposium on Document Analysis and Information Retrieval , 1994
"... Text categorization is a fundamental task in document processing, allowing the automated handling of enormous streams of documents in electronic form. One difficulty in handling some classes of documents is the presence of different kinds of textual errors, such as spelling and grammatical errors in ..."
Abstract - Cited by 445 (0 self) - Add to MetaCart
in email, and character recognition errors in documents that come through OCR. Text categorization must work reliably on all input, and thus must tolerate some level of these kinds of problems. We describe here an N-gram-based approach to text categorization that is tolerant of textual errors. The system

Augmented Surfaces: A Spatially Continuous Work Space for Hybrid Computing Environments

by Jun Rekimoto, Masanori Saitoh , 1999
"... This paper describes our design and implementation of a computer augmented environment that allows users to smoothly interchange digital information among their portable computers, table and wall displays, and other physical objects. Supported by a camera-based object recognition system, users can e ..."
Abstract - Cited by 329 (4 self) - Add to MetaCart
This paper describes our design and implementation of a computer augmented environment that allows users to smoothly interchange digital information among their portable computers, table and wall displays, and other physical objects. Supported by a camera-based object recognition system, users can

Entity-Based Cross-Document Coreferencing Using the Vector Space Model

by Amit Bagga , 1998
"... Cross-document coreference occurs when the same person, place, event, or concept is discussed in more than one text source. Computer recognition of this phenomenon is important because it helps break "the document boundary " by allowing a user to ex-amine information about a partic ..."
Abstract - Cited by 232 (6 self) - Add to MetaCart
Cross-document coreference occurs when the same person, place, event, or concept is discussed in more than one text source. Computer recognition of this phenomenon is important because it helps break "the document boundary " by allowing a user to ex-amine information about a

The SPHINX-II Speech Recognition System: An Overview

by Xuedong Huang, Fileno Alleva, Hsiao-wuen Hon, Mei-yuh Hwang, Ronald Rosenfeld - Computer, Speech and Language , 1992
"... In order for speech recognizers to deal with increased task perplexity, speaker variation, and environment variation, improved speech recognition is critical. Steady progress has been made along these three dimensions at Carnegie Mellon. In this paper, we review the SPHINX-II speech recognition syst ..."
Abstract - Cited by 186 (9 self) - Add to MetaCart
system and summarize our recent efforts on improved speech recognition. This research was sponsored by the Defense Advanced Research Projects Agency and monitored by the Space and Naval Warfare Systems Command under Contract N00039-91-C-0158, ARPA Order No. 7239. The views and conclusions contained

Large-scale named entity disambiguation based on Wikipedia data

by Silviu Cucerzan - In Proc. 2007 Joint Conference on EMNLP and CNLL , 2007
"... This paper presents a large-scale system for the recognition and semantic disambiguation of named entities based on information extracted from a large encyclopedic collection and Web search results. It describes in detail the disambiguation paradigm employed and the information extraction process fr ..."
Abstract - Cited by 238 (3 self) - Add to MetaCart
This paper presents a large-scale system for the recognition and semantic disambiguation of named entities based on information extracted from a large encyclopedic collection and Web search results. It describes in detail the disambiguation paradigm employed and the information extraction process

Automatic Character Recognition for Moving and Stationary Vehicles and Containers in Real-life Images

by Dr. John C. M. Lee
"... Many methods have been proposed for character recognition but they are often subjected to substantial constraints, due to unexpected difficulties encountered in real-life images. A real-life image may be complex for a variety of reasons. Rust, mud, peeling paint, or fading color may distort the imag ..."
Abstract - Cited by 7 (0 self) - Add to MetaCart
the images of the characters; uneven lighting may make them difficult to discern. This paper presents the VECON (Vehicle and Container Number Recognition) system, which takes into account a wide range of real-life considerations and aims at offering applicable solutions to some industries. After being tested

Experiencing Real-Life Interactions with the Experimental Platform of MAIA

by G. Antoniol, B. Caprile, A. Cimatti, R. Fiutem - In Proceedings of the 1st European Workshop on Human Comfort and Security , 1994
"... Over the years, automated vehicles have evolved from reliable yet rigidly constrained AGV to the fairly flexible ones of the HelpMate generation. If many problems related to the autonomous navigation of such vehicles have found solutions that appear to be adequate to many practical situations, yet t ..."
Abstract - Cited by 5 (0 self) - Add to MetaCart
, speech recognition and planning skills represents three aspects of one and the same ability that the system can exhibit of establishing interactions with the external world in an reliable and autonomous fashion. IRST Technical Report 9406-27, June 1994. 1 Introduction Design and realization of artificial
Results 1 - 10 of 2,633