Recurrent networks with attention and convolutional networks for sentence representation and classification
Sign Up to like & getrecommendations! Published in 2018 at "Applied Intelligence"
DOI: 10.1007/s10489-018-1176-4
Abstract: In this paper, we propose a bi-attention, a multi-layer attention and an attention mechanism and convolution neural network based text representation and classification model (ACNN). The bi-attention have two attention mechanism to learn two context… read more here.
Keywords: representation classification; context vector; attention; classification ... See more keywords
Modified Sparse Representation Classification Framework for Online Writer Identification
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2018.2871267
Abstract: In this paper, we propose a modified strategy using sparse representation to identify the authorship of online handwritten documents. The note-worthy aspect of this paper lies in the introduction of a-priori information for each dictionary… read more here.
Keywords: sparse representation; modified sparse; writer; representation classification ... See more keywords
Sparse Representation Classification Based on Flexible Patches Sampling of Superpixels for Hyperspectral Images
Sign Up to like & getrecommendations! Published in 2018 at "Mathematical Problems in Engineering"
DOI: 10.1155/2018/8264961
Abstract: Aiming at solving the difficulty of modeling on spatial coherence, complete feature extraction, and sparse representation in hyperspectral image classification, a joint sparse representation classification method is investigated by flexible patches sampling of superpixels. First,… read more here.
Keywords: classification; flexible patches; sparse representation; representation classification ... See more keywords
Ontological representation, classification and data-driven computing of phenotypes
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Biomedical Semantics"
DOI: 10.1186/s13326-020-00230-0
Abstract: Background The successful determination and analysis of phenotypes plays a key role in the diagnostic process, the evaluation of risk factors and the recruitment of participants for clinical and epidemiological studies. The development of computable… read more here.
Keywords: phenotype; available data; ontology; representation classification ... See more keywords