Results 41 to 50 of about 363 (105)

Automated crater detection on Mars using deep learning [PDF]

open access: yes, 2019
Impact crater cataloging is an important tool in the study of the geological history of planetary bodies in the Solar System, including dating of surface features and geologic mapping of surface processes. Catalogs of impact craters have been created by a diverse set of methods over many decades, including using visible or near infra-red imagery and ...
arxiv   +1 more source

Continual Domain Adaptation for Machine Reading Comprehension [PDF]

open access: yes, 2020
Machine reading comprehension (MRC) has become a core component in a variety of natural language processing (NLP) applications such as question answering and dialogue systems. It becomes a practical challenge that an MRC model needs to learn in non-stationary environments, in which the underlying data distribution changes over time.
arxiv   +1 more source

An algorithm for correcting CoRoT raw light curves [PDF]

open access: yes, 2010
We introduce the CoRoT detrend algorithm (CDA) for detrending CoRoT stellar light curves. The algorithm CDA has the capability to remove random jumps and systematic trends encountered in typical CoRoT data in a fully automatic fashion. Since enormous jumps in flux can destroy the information content of a light curve, such an algorithm is essential ...
arxiv   +1 more source

An Empirical Study of Contextual Data Augmentation for Japanese Zero Anaphora Resolution [PDF]

open access: yesarXiv, 2020
One critical issue of zero anaphora resolution (ZAR) is the scarcity of labeled data. This study explores how effectively this problem can be alleviated by data augmentation. We adopt a state-of-the-art data augmentation method, called the contextual data augmentation (CDA), that generates labeled training instances using a pretrained language model ...
arxiv  

Combinatorial Data Augmentation: A Key Enabler to Bridge Geometry- and Data-Driven WiFi Positioning [PDF]

open access: yesarXiv, 2021
Due to the emergence of various wireless sensing technologies, numerous positioning algorithms have been introduced in the literature, categorized into \emph{geometry-driven positioning} (GP) and \emph{data-driven positioning} (DP). These approaches have respective limitations, e.g., a non-line-of-sight issue for GP and the lack of a labeled dataset ...
arxiv  

MutualFormer: Multi-Modality Representation Learning via Cross-Diffusion Attention [PDF]

open access: yesarXiv, 2021
Aggregating multi-modality data to obtain reliable data representation attracts more and more attention. Recent studies demonstrate that Transformer models usually work well for multi-modality tasks. Existing Transformers generally either adopt the Cross-Attention (CA) mechanism or simple concatenation to achieve the information interaction among ...
arxiv  

Efficient Dynamical Downscaling of General Circulation Models Using Continuous Data Assimilation [PDF]

open access: yes, 2019
Continuous data assimilation (CDA) is successfully implemented for the first time for efficient dynamical downscaling of a global atmospheric reanalysis. A comparison of the performance of CDA with the standard grid and spectral nudging techniques for representing long- and short-scale features in the downscaled fields using the Weather Research and ...
arxiv   +1 more source

Downscaling the 2D Benard Convection Equations Using Continuous Data Assimilation [PDF]

open access: yesarXiv, 2015
We consider a recently introduced continuous data assimilation (CDA) approach for downscaling a coarse resolution configuration of the 2D Benard convection equations into a finer grid. In this CDA, a nudging term, estimated as the misfit between some interpolants of the assimilated coarse grid measurements and the fine grid model solution, is added to ...
arxiv  

Gender Bias in Neural Natural Language Processing [PDF]

open access: yesarXiv, 2018
We examine whether neural natural language processing (NLP) systems reflect historical biases in training data. We define a general benchmark to quantify gender bias in a variety of neural NLP tasks. Our empirical evaluation with state-of-the-art neural coreference resolution and textbook RNN-based language models trained on benchmark datasets finds ...
arxiv  

Complete release of (5'S)-8,5'-cyclo-2'-deoxyadenosine from dinucleotides, oligodeoxynucleotides and DNA, and direct comparison of its levels in cellular DNA with other oxidatively induced DNA lesions.

open access: yesNucleic Acids Research, 2004
8,5'-cyclopurine-2'-deoxynucleosides in DNA are repaired by nucleotide-excision repair, and act as strong blocks to DNA polymerases, RNA polymerase II and transcription factor binding.
P. Jaruga   +3 more
semanticscholar   +1 more source

Home - About - Disclaimer - Privacy