Titlebook: Intermolecular Forces; Bernard Pullman Book 1981 Springer Science+Business Media B.V. 1981 NMR.ab initio calculation.bonding.spectroscopy.

細微的差異

F. A. Gianturco,V. Staemmlerlong short-term memory are inefficient and not parallelizable. Moreover, n-gram language models and beam search algorithm were commonly adopted by many existing systems as a part of post-processing, resulting in extremely low speed and large footprint. To this end, we propose a fast, accurate and co

破布

William J. Meath,Daniel J. Margoliash,B. L. Jhanwar,A. Koide,G. D. Zeissrupting characters. It is especially difficult for languages where syllables are written by alphabetic letters arranged in two dimensions. Sequence learning architectures have a lot of potential to be applied for solving this type of tasks because they can access global and local contextual informat

話

啜泣

Christian Votava,Reinhart Ahlrichsvices places stringent requirements on different aspects of embedded machine learning models, which results in finding a trade-off between model performance and model complexity. In this work, a novel hierarchical deep neural network (HDNN) architecture with high computational efficiency is proposed

CHAR

aspect

apropos

Robert A. Pierotti,Stephen L. Parrott,Mark A. Tallentexclusive one another. As various applications emerge, besides large instance size and high feature dimensionality, the dimensionality of label space also grows quickly, which would increase computational costs and even deteriorate classification performance. To this end, dimensionality reduction st

inundate

Werner A. P. Luckifficult to use rectangular bounding boxes to detect text locations accurately. To detect multi-oriented text, rotated bounding box-based methods have been explored as an alternative. However, they are not as accurate for scene text detection as rectangular bounding box-based methods. In this paper,

Graduated

CHIDE