Publications associées à Corrélation de Spearman

Far-field ASR Using Low-rank and Sparse Soft Targets from Parallel Data

Hervé Bourlard, Afsaneh Asaei, Pranay Dighe

Far-field automatic speech recognition (ASR) of conversational speech is often considered to be a very challenging task due to the poor quality of alignments available for training the DNN acoustic models. A common way to alleviate this problem is to use c ...

IEEE2018

Modeling biogenic secondary organic aerosol (BSOA) formation from monoterpene reactions with NO3: A case study of the SOAS campaign using CMAQ

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Monoterpenes react with nitrate radicals (NO3), contributing substantially to nighttime organic aerosol (OA) production. In this study, the role of reactions of monoterpenes + NO3 in forming biogenic secondary organic aerosol (BSOA) was examined using the ...

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Computational aspects of correlation power analysis

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Since the discovery of simple power attacks, the cryptographic research community has developed significantly more advanced attack methods. The idea behind most algorithms remains to perform a statistical analysis by correlating the power trace obtained wh ...

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Ieee-Inst Electrical Electronics Engineers Inc2017

Neuromorphic Architecture with 1M Memristive Synapses for Detection of Weakly Correlated Inputs

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Wind tunnel observations of weak and strong snow saltation dynamics

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Theoretical considerations suggest that saltation dynamics is dominated by either aerodynamic entrainment or by a combination of ejection and rebound at a given time and location. Calling these two regimes weak and strong saltation, respectively, we have i ...

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Muscle Activation Variability Is Inversely Correlated with Walking Speed

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Individuals withmotor impairments typically walk at much slower speeds than their unimpaired counterparts, yet their gait data is still evaluated against the relatively faster gait of healthy subjects. Therefore a good understanding of unimpaired gait at e ...

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COMPARISON OF LUMINANCE BASED METRICS IN DIFFERENT LIGHTING CONDITIONS

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In this study, we evaluate established and newly developed metrics for predicting glare using data from three different research studies. The evaluation covers two different targets: 1. How well the user’s perception of glare magnitude correlates to the pr ...

CIE, Vienna2017

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Corrélation de Spearman

Far-field ASR Using Low-rank and Sparse Soft Targets from Parallel Data

Applying dimension reduction to EEG data by Principal Component Analysis reduces the quality of its subsequent Independent Component decomposition

Modeling biogenic secondary organic aerosol (BSOA) formation from monoterpene reactions with NO3: A case study of the SOAS campaign using CMAQ

Computational aspects of correlation power analysis

Soil Moisture Estimation by SAR in Alpine Fields Using Gaussian Process Regressor Trained by Model Simulations

Neuromorphic Architecture with 1M Memristive Synapses for Detection of Weakly Correlated Inputs

Wind tunnel observations of weak and strong snow saltation dynamics

Synthetic diagnostic for the beam emission spectroscopy diagnostic using a full optical integration

Muscle Activation Variability Is Inversely Correlated with Walking Speed

COMPARISON OF LUMINANCE BASED METRICS IN DIFFERENT LIGHTING CONDITIONS

Graph Chatbot

Chattez avec Graph Search

Applying dimension reduction to EEG data by Principal Component Analysis reduces the quality of its subsequent Independent Component decomposition

Modeling biogenic secondary organic aerosol (BSOA) formation from monoterpene reactions with NO3: A case study of the SOAS campaign using CMAQ

Soil Moisture Estimation by SAR in Alpine Fields Using Gaussian Process Regressor Trained by Model Simulations

Wind tunnel observations of weak and strong snow saltation dynamics

Neuromorphic Architecture with 1M Memristive Synapses for Detection of Weakly Correlated Inputs

COMPARISON OF LUMINANCE BASED METRICS IN DIFFERENT LIGHTING CONDITIONS

Computational aspects of correlation power analysis

Muscle Activation Variability Is Inversely Correlated with Walking Speed

Synthetic diagnostic for the beam emission spectroscopy diagnostic using a full optical integration

Far-field ASR Using Low-rank and Sparse Soft Targets from Parallel Data