End-to-end models
End-to-end Energy Models for Edge Cloud-based IoT Platforms: Application to Data Stream Analysis in IoT
... milliWatts to few Watts [13, ...devices to o ffer services [15]. To cope with the traffic increase caused by IoT devices, Cloud computing infrastructures start to explore the newly proposed ...
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Confidence measure for speech-to-concept end-to-end spoken language understanding
... system to learn an alignment between an audio input and a character sequence to ...sequence to be produced by the neural ...Our end-to-end SLU system is trained following the ...
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End-to-End Automatic Speech Translation of Audiobooks
... Terms— End-to-end models, Speech Translation, ...attempted to build end-to-end speech-to-text translation without using source language tran- scription ...
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Recent Advances in End-to-End Spoken Language Understanding
... way to reduce the mismatches between the models and the data from a particular speaker or ...For end-to-end approaches, speaker adaptation is less studied, and most of the first ...
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End-to-end security architecture for cloud computing environments
... Policy models Access Control (AC) models are very widespread, declined in several categories and often referred in terms of subjects and ...requests to perform an operation or series of operations on ...
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Correlated Resource Models of Internet End Hosts
... returns to scale on each resource to the ...Internet end ma- chines to perform distributed file sharing and benefits greatly from large disks, but has little use for processors or ...resources ...
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End-to-end multi-view networks for text classification
... MVN models, each with a single view, to serve as weak ...MVN to be un- aware of each ...connected to the most recent previous view, replacing Equation ...
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End-to-end person search sequentially trained on aggregated dataset
... 1.9 to 2.5) faster than the related disjoint method, according to the number of images per ...1.5 to 2.0 (resp. 2.5 to 3.4) faster. Joint models are closer to fulfill the ...
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End-to-End Adaptive Framework for Multimedia Information Retrieval
... approach to existing web resources is one of the major challenges for building the semantic ...due to lack of use of metadata information generated by annotations and ontology models that describe ...
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Response Selection for End-to-End Retrieval-Based Dialogue Systems
... due to the difficulty of their inter- pretability and the large amounts of data required to train them ( Doshi-Velez and Kim , 2017 ; Dong et ...ability to explain the reasons why the model produced ...
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End-to-End Kernel Learning with Supervised Convolutional Kernel Networks
... close to approaches that were developed several decades ago (see, [13]), they greatly benefit from the large amounts of labeled data that have been made available recently, allowing to learn huge numbers of ...
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End-to-End Encrypted Messaging Protocols: An Overview
... occasion to observe in previous mapping research on P2P services [9], part of the reason why there is such a great diversity and complexity in this field is the relatively short life span of several ...related ...
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VNET: Towards End-to-End Network Cloudification
... is to design and develop techniques and mechanisms to achieve an efficient resource allocation and isolation of slices in the context of heterogeneous wireless access ...given to the problem of ...
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End-to-End 6DoF Pose Estimation From Monocular RGB Images
... set to 1.0, 1.0, 0.1 to scale the loss accordingly. To decrease the translational outlier penalty and stabilise the network training, the hyperparameter δ in ...set to 2.8 metres as the loose ...
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Towards End-to-End spoken intent recognition in smart home
... SLU models generate high expectations for joint ASR and NLU optimization but their performances have not superseded those of the pipeline approach ...model to superior performance. [9] used TTS to ...
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Impacts du changement global sur la biodiversité en mer Méditerranée : une approche par modélisation End-to-End
... Ecopath models built at more local scales in the region confirm this assumption (Coll et ...plankton to fish, principally mediated through bottom-up processes that could be traced back to the ...
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CoMe4ACloud: An End-to-End Framework for Autonomic Cloud Systems
... Automation. Cloud systems are scalable by definition, meaning that Cloud system may be composed of large sets of components and hence complex software structures 30 to be handled manually in an efficient way. This ...
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A Non-intrusive Tool Chain to Optimize MPSoC End-to-end Systems
... adjusted to the hardware design. This char- acteristic is essential to maintain a fast emulation over a long period of ...possibility to log all signals from the emulated design in a hardware ...
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Delay Tolerant Users: A solution to end-to-end network energy efficiency
... according to care- ful radio resource planning in order to not overlap their coverage ...factor to consider by the NRSs is the service ...ture to check if the coverage constraints are met when ...
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Using Network Calculus to compute end-to-end delays in SpaceWire networks
... element To use Network Calculus theory, we first need to determine a service curve for each element traversed by a ...an End-To-End (ETE) service curve using Theorem ...inferior ...
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