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71
Marginalized Denoising Autoencoder via Graph Regularization for Domain Adaptation
"... Abstract. Domain adaptation, which aims to learn domain-invariant features for sentiment classification, has received increasing attention. The underlying rationality of domain adaptation is that the involved do-mains share some common latent factors. Recently neural network based on Stacked Denoisi ..."
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Abstract. Domain adaptation, which aims to learn domain-invariant features for sentiment classification, has received increasing attention. The underlying rationality of domain adaptation is that the involved do-mains share some common latent factors. Recently neural network based on Stacked
Sensor integration using neural networks for intelligent tool condition monitoring, Trans.
- ASME J. Engng Ind.
, 1990
"... A framework for intelligent sensors in unmanned machining is proposed. In the absence of human operators, the process monitoring function has to be performed with sensors and associated decision-making systems which are able to interpret incoming sensor information and decide on the appropriate con ..."
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Cited by 29 (0 self)
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articles In this paper, we present a technique for intelligent tool condition monitoring which employs information from multiple sensors. This information is integrated via a neural network, a parallel computing architecture which can learn to recognize patterns of sensor information and associate them
Robust Validation of Visual Focus of Attention using Adaptive Fusion of Head and Eye Gaze patterns
"... We propose a framework for inferring the focus of attention of a person, utilizing information coming both from head rotation and eye gaze estimation. To this aim, we use fuzzy logic to estimate confidence on the gaze of a person towards a specific point, and results are compared to human annotation ..."
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Cited by 1 (1 self)
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annotation. For head pose we propose Bayesian modality fusion of both local and holistic information, while for eye gaze we propose a methodology that calculates eye gaze directionality, removing the influence of head rotation, using a simple camera. For local information, feature positions are used, while
Emergence of the mitochondrial reticulum from fission and fusion dynamics
, 2012
"... Mitochondria form a dynamic tubular reticulum within eukaryotic cells. Currently, quantitative understanding of its morphological characteristics is largely absent, despite major progress in deciphering the molecular fission and fusion machineries shaping its structure. Here we address the principle ..."
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Cited by 1 (0 self)
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the principles of formation and the large-scale organization of the cell-wide network of mitochondria. On the basis of experimentally determined structural features we establish the tip-to-tip and tip-to-side fission and fusion events as dominant reactions in the motility of this organelle. Subsequently, we
Wireless Sensor Networking in Challenging Environments
, 2014
"... This Dissertation is brought to you for free and open access by Washington University Open Scholarship. It has been accepted for inclusion in All Theses and Dissertations (ETDs) by an authorized administrator of Washington University Open Scholarship. For more information, please contact ..."
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This Dissertation is brought to you for free and open access by Washington University Open Scholarship. It has been accepted for inclusion in All Theses and Dissertations (ETDs) by an authorized administrator of Washington University Open Scholarship. For more information, please contact
Routing and Broadcasting in Ad-Hoc Networks
"... I would like to thank Prof. Dr. Torsten Braun, head of the Computer Network and Distributed Systems group (RVS), for supervising this work and for his insightful advises. Prof. Dr. Torsten Braun encouraged and motivated me to publish my research results and he provided me the opportunity to present ..."
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I would like to thank Prof. Dr. Torsten Braun, head of the Computer Network and Distributed Systems group (RVS), for supervising this work and for his insightful advises. Prof. Dr. Torsten Braun encouraged and motivated me to publish my research results and he provided me the opportunity to present
Flush: A Reliable Bulk Transport Protocol for Multihop Wireless Networks
"... We present Flush, a reliable, high goodput bulk data trans-port protocol for wireless sensor networks. Flush provides end-to-end reliability, reduces transfer time, and adapts to time-varying network conditions. It achieves these proper-ties using end-to-end acknowledgments, implicit snooping of con ..."
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We present Flush, a reliable, high goodput bulk data trans-port protocol for wireless sensor networks. Flush provides end-to-end reliability, reduces transfer time, and adapts to time-varying network conditions. It achieves these proper-ties using end-to-end acknowledgments, implicit snooping
1 MOSES: a Framework for QoS Driven Runtime Adaptation of Service-oriented Systems
"... Abstract—Architecting software systems according to the serviceoriented paradigm, and designing runtime self-adaptable systems are two relevant research areas in today’s software engineering. In this paper we address issues that lie at the intersection of these two important fields. First, we presen ..."
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Abstract—Architecting software systems according to the serviceoriented paradigm, and designing runtime self-adaptable systems are two relevant research areas in today’s software engineering. In this paper we address issues that lie at the intersection of these two important fields. First, we
SIMULATION, DEVELOPMENT AND DEPLOYMENT OF MOBILE WIRELESS SENSOR NETWORKS FOR MIGRATORY BIRD TRACKING
, 2012
"... This thesis presents CraneTracker, a multi-modal sensing and communication system for monitoring migratory species at the continental level. By exploiting the robust and extensive cellular infrastructure across the continent, traditional mobile wireless sensor networks can be extended to enable reli ..."
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This thesis presents CraneTracker, a multi-modal sensing and communication system for monitoring migratory species at the continental level. By exploiting the robust and extensive cellular infrastructure across the continent, traditional mobile wireless sensor networks can be extended to enable
A PIPELINED APPROACH FOR FPGA IMPLEMENTATION OF BI MODAL BIOMETRIC PATTERN RECOGNITION
"... ABSTRACT A Biometric system is essentially a pattern recognition system that makes use of biometric traits to recognize individuals. Systems which are built upon multiple sources of information for establishing identity which are known as multimodal biometric systems can overcome some of the limita ..."
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. The combined pattern vector of palm print features and iris features are formed using fusion at feature level and applied to the pattern classifier. The Learning Vector Quantization neural network is used as pattern classifier and a recognition rate of 97.22% is obtained. A part of the neural network
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