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Mobile agents: Motivations and state-of-the-art systems
- Handbook of Agent
, 2000
"... A mobile agent is an executing program that can migrate, at times of its own choosing, from machine to machine in a heterogeneous network. On each machine, the agent interacts with stationary service agents and other resources to accomplish its task. In this chapter, we first make the case for mobil ..."
Abstract
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Cited by 36 (0 self)
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for mobile agents, discussing six strengths of mobile agents and the applications that benefit from these strengths. Although none of these strengths are unique to mobile agents, no competing technique shares all six. In other words, a mobile-agent system provides a single general framework in which a wide
State-of-the-Art System Solutions for Unmanned Underwater Vehicles
- Radioengineering
"... Abstract. Unmanned Underwater Vehicles (UUVs) have gained popularity for the last decades, especially for the purpose of not risking human life in dangerous operations. On the other hand, underwater environment introduces numerous challenges in navigation, control and communi-cation of such vehicles ..."
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Cited by 3 (0 self)
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-cation of such vehicles. Certainly, this fact makes the development of these vehicles more interesting and engi-neering-wise more attractive. In this paper, we first revisit the existing technology and methodology for the solution of aforementioned problems, then we try to come up with a system solution of a generic
Large-scale evaluation of multimodal biometric authentication using state-of-the-art systems
- IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
, 2005
"... We examine the performance of multimodal biometric authentication systems using state-of-the-art Commercial Off-the-Shelf (COTS) fingerprint and face biometric systems on a population approaching 1,000 individuals. The majority of prior studies of multimodal biometrics have been limited to relativel ..."
Abstract
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Cited by 53 (1 self)
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We examine the performance of multimodal biometric authentication systems using state-of-the-art Commercial Off-the-Shelf (COTS) fingerprint and face biometric systems on a population approaching 1,000 individuals. The majority of prior studies of multimodal biometrics have been limited
Large Scale Evaluation of Multimodal Biometric Authentication Using State-of-the-Art Systems
- IEEE Transactions on Pattern Analysis and Machine Intelligence
, 2005
"... We examine the performance of multimodal biometric authentication systems using state-of-the-art Commercial Off-the-Shelf (COTS) fingerprint and face biometric systems on a population approaching 1,000 individuals. Majority of prior studies of multimodal biometrics have been limited to relatively lo ..."
Abstract
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Cited by 48 (6 self)
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We examine the performance of multimodal biometric authentication systems using state-of-the-art Commercial Off-the-Shelf (COTS) fingerprint and face biometric systems on a population approaching 1,000 individuals. Majority of prior studies of multimodal biometrics have been limited to relatively
Interactive Cellular and Cordless Video Telephony: State-of-the-Art System Design Principles and Expected Performance
- PROC. IEEE
, 2000
"... ... This paper advocates the employment of burst-by-burst adaptive transceivers, which are capable of accommodating the time-variant channel quality fluctuation of wireless channels. This paper is concluded with a range of performance figures and system design guidelines for wireless systems. ..."
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Cited by 13 (6 self)
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... This paper advocates the employment of burst-by-burst adaptive transceivers, which are capable of accommodating the time-variant channel quality fluctuation of wireless channels. This paper is concluded with a range of performance figures and system design guidelines for wireless systems.
ISBN 978-80-7378-101-9 © MATFYZPRESS Speech Reconstruction – Overview of State-of-the-art Systems
"... Abstract. This paper describes the speech reconstruction problem and lists the most frequent speaker errors. We show that deletion of these errors is not sufficient and more complex string operation should be done. We overview state-of-the-art methods which try to solve this problem and present new ..."
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Abstract. This paper describes the speech reconstruction problem and lists the most frequent speaker errors. We show that deletion of these errors is not sufficient and more complex string operation should be done. We overview state-of-the-art methods which try to solve this problem and present new
A Taxonomy of Desktop Grids and its Mapping to State-of-the-Art Systems
"... Desktop Grid has emerged as an attractive computing paradigm for high throughput applications. In Desktop Grid systems, numerous desktop computers owned by different individuals are employed as computational resources at the edge of the Internet. Accordingly, building such systems is complicated due ..."
Abstract
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Cited by 1 (0 self)
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Desktop Grid has emerged as an attractive computing paradigm for high throughput applications. In Desktop Grid systems, numerous desktop computers owned by different individuals are employed as computational resources at the edge of the Internet. Accordingly, building such systems is complicated
Designing the User Interface for Multimodal Speech and Pen-based Gesture Applications: State-of-the-Art Systems and Future Research Directions
, 2000
"... The growing interest in multimodal interface design is inspired in large part by the goals of supporting more transparent, flexible, efficient, and powerfully expressive means of humancomputer interaction than in the past. Multimodal interfaces are expected to support a wider range of diverse applic ..."
Abstract
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Cited by 150 (15 self)
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early and late fusion approaches, and the new hybrid symbolic/statistical approach. We also describe a diverse collection of state-of-the-art multimodal systems that process users' spoken and gestural input. These applications range from map-based and virtual reality systems for engaging
Incorporating non-local information into information extraction systems by Gibbs sampling
- IN ACL
, 2005
"... Most current statistical natural language processing models use only local features so as to permit dynamic programming in inference, but this makes them unable to fully account for the long distance structure that is prevalent in language use. We show how to solve this dilemma with Gibbs sampling, ..."
Abstract
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Cited by 730 (25 self)
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use this technique to augment an existing CRF-based information extraction system with long-distance dependency models, enforcing label consistency and extraction template consistency constraints. This technique results in an error reduction of up to 9 % over state-of-the-art systems on two
Lightly Supervised and Unsupervised Acoustic Model Training
- Computer Speech and Language
, 2002
"... The last decade has witnessed substantial progress in speech recognition technology, with todays state-of-the-art systems being able to transcribe unrestricted broadcast news audio data with a word error of about 20%. ..."
Abstract
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Cited by 88 (10 self)
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The last decade has witnessed substantial progress in speech recognition technology, with todays state-of-the-art systems being able to transcribe unrestricted broadcast news audio data with a word error of about 20%.
Results 1 - 10
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