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Distortion invariant object recognition in the dynamic link architecture

by Martin Lades, Jan C. Vorbrüggen, Joachim Buhmann, Christoph v. d. Malsburg, Rolf P. Würtz, Wolfgang Konen - IEEE TRANSACTIONS ON COMPUTERS , 1993
"... We present an object recognition system based on the Dynamic Link Architecture, which is an extension to classical Artificial Neural Networks. The Dynamic Link Architecture ex-ploits correlations in the fine-scale temporal structure of cellular signals in order to group neurons dynamically into hig ..."
Abstract - Cited by 637 (80 self) - Add to MetaCart
are represented by sparse graphs, whose vertices are labeled by a multi-resolution description in terms of a local power spectrum, and whose edges are labeled by geometrical distance vectors. Object recognition can be formulated as elastic graph matching, which is performed here by stochastic optimization of a

A survey of peer-to-peer content distribution technologies

by Stephanos Androutsellis-theotokis, Diomidis Spinellis - ACM Computing Surveys , 2004
"... Distributed computer architectures labeled “peer-to-peer ” are designed for the sharing of computer resources (content, storage, CPU cycles) by direct exchange, rather than requiring the intermediation or support of a centralized server or authority. Peer-to-peer architectures are characterized by t ..."
Abstract - Cited by 378 (7 self) - Add to MetaCart
typically allow personal computers to function in a coordinated manner as a distributed storage medium by contributing, searching, and obtaining digital content. In this survey, we propose a framework for analyzing peer-to-peer content distribution technologies. Our approach focuses on nonfunctional

Face recognition by elastic bunch graph matching,

by Laurenz Wiskott , ‡ , Jean-Marc Fellous , § , Norbert Krüger , ¶ , Christoph Von Der Malsburg - IEEE Trans. Patt. Anal. Mach. Intell. , 1997
"... Abstract We present a system for recognizing human faces from single images out of a large database containing one image per person. The task is difficult because of image variation in terms of position, size, expression, and pose. The system collapses most of this variance by extracting concise fa ..."
Abstract - Cited by 367 (9 self) - Add to MetaCart
Abstract We present a system for recognizing human faces from single images out of a large database containing one image per person. The task is difficult because of image variation in terms of position, size, expression, and pose. The system collapses most of this variance by extracting concise

Content-based classification, search, and retrieval of audio

by Erling Wold, Thorn Blum, Douglas Keislar, James Wheaton - IEEE Multimedia , 1996
"... say that it belongs to the class of speech sounds or the class of applause sounds, where the system has previously been trained on other sounds in this class. I Acoustical/perceptual features: describing the sounds in terms of commonly understood physical characteristics such as brightness, pitch, a ..."
Abstract - Cited by 263 (1 self) - Add to MetaCart
, and loudness. I Subjective features: describing the sounds using personal descriptive language. This requires training the system (in our case, by example) to understand the meaning of these descriptive terms. For example, a user might be looking for a “shimmering ” sound.

Automatically Constructing a Dictionary for Information Extraction Tasks

by Ellen Riloff , 1993
"... Knowledge-based natural language processing systems have achieved good success with certain tasks but they are often criticized because they depend on a domain-specific dictionary that requires a great deal of manual knowledge engineering. This knowledge engineering bottleneck makes knowledge-b ..."
Abstract - Cited by 263 (22 self) - Add to MetaCart
AutoSlog, we constructed a dictionary for the domain of terrorist event descriptions in only 5 person-hours. We then compared the AutoSlog dictionary with a hand-crafted dictionary that was built by two highly skilled graduate students and required approximately 1500 person-hours of effort. We

Ht06, tagging paper, taxonomy, Flickr, academic article, to read

by Cameron Marlow, Mor Naaman, Danah Boyd, Marc Davis - PROC CONF HYPERTEXT HYPERMEDIA, 31{40 , 2006
"... In recent years, tagging systems have become increasingly popular. These systems enable users to add keywords (i.e., “tags”) to Internet resources (e.g., web pages, images, videos) without relying on a controlled vocabulary. Tagging systems have the potential to improve search, spam detection, reput ..."
Abstract - Cited by 228 (2 self) - Add to MetaCart
of resources, tagging systems are still not well studied or understood. In this paper, we provide a short description of the academic related work to date. We offer a model of tagging systems, specifically in the context of web-based systems, to help us illustrate the possible benefits of these tools. Since

Human Activity Analysis: A Review

by J. K. Aggarwal, M. S. Ryoo - TO APPEAR. ACM COMPUTING SURVEYS.
"... Human activity recognition is an important area of computer vision research. Its applications include surveillance systems, patient monitoring systems, and a variety of systems that involve interactions between persons and electronic devices such as human-computer interfaces. Most of these applicati ..."
Abstract - Cited by 214 (6 self) - Add to MetaCart
Human activity recognition is an important area of computer vision research. Its applications include surveillance systems, patient monitoring systems, and a variety of systems that involve interactions between persons and electronic devices such as human-computer interfaces. Most

The design of personal mobile technologies for lifelong learning

by Mike Sharples - Computers & Education , 2000
"... interface; interactive learning environments; lifelong learning This paper sets out a framework for the design of a new genre of educational technology: personal (handheld or wearable) computer systems that support learning from any location throughout a lifetime. We set out a theory of lifelong lea ..."
Abstract - Cited by 183 (10 self) - Add to MetaCart
interface; interactive learning environments; lifelong learning This paper sets out a framework for the design of a new genre of educational technology: personal (handheld or wearable) computer systems that support learning from any location throughout a lifetime. We set out a theory of lifelong

Signal Stability based Adaptive Routing (SSA) for Ad-Hoc Mobile Networks

by Rohit Dube, Cynthia D. Rais, Kuang-yeh Wang, Satish K. Tripathi - IEEE Personal Communications , 1997
"... Unlike static networks, ad-hoc networks have no spatial hierarchy and suffer from frequent link failures which prevent mobile hosts from using traditional routing schemes. Under these conditions, mobile hosts must find routes to destinations without the use of designated routers and also must dynami ..."
Abstract - Cited by 165 (0 self) - Add to MetaCart
dynamically adapt the routes to the current link conditions. This paper proposes a distributed adaptive routing protocol for finding and maintaining stable routes based on signal strength and location stability in an ad-hoc network and presents an architecture for its implementation. 1 Introduction Mobility

Computing and Applying Trust in Web-based Social Networks

by Jennifer Ann Golbeck , 2005
"... The proliferation of web-based social networks has lead to new innovations in social networking, particularly by allowing users to describe their relationships beyond a basic connection. In this dissertation, I look specifically at trust in web-based social networks, how it can be computed, and how ..."
Abstract - Cited by 205 (16 self) - Add to MetaCart
it can be used in applications. I begin with a definition of trust and a description of several properties that affect how it is used in algorithms. This is complemented by a survey of web-based social networks to gain an understanding of their scope, the types of relationship information available
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