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Found 9 papers, 0 papers with code
Robust bilinear factor analysis based on the matrix-variate $t$ distribution
This introduces two challenges for $t$fa: (i) the inherent matrix structure of the data is broken, and (ii) robustness may be lost, as vectorized matrix data typically results in a high data dimension, which could easily lead to the breakdown of $t$fa.
Choosing the number of factors in factor analysis with incomplete data via a hierarchical Bayesian information criterion
The Bayesian information criterion (BIC), defined as the observed data log likelihood minus a penalty term based on the sample size $N$, is a popular model selection criterion for factor analysis with complete data.
Dual-Attention Enhanced BDense-UNet for Liver Lesion Segmentation
In this work, we propose a new segmentation network by integrating DenseUNet and bidirectional LSTM together with attention mechanism, termed as DA-BDense-UNet.
CNN-based Realized Covariance Matrix Forecasting
It is well known that modeling and forecasting realized covariance matrices of asset returns play a crucial role in the field of finance.
AutoBERT-Zero: Evolving BERT Backbone from Scratch
Transformer-based pre-trained language models like BERT and its variants have recently achieved promising performance in various natural language processing (NLP) tasks.
Ranked #10 on
Semantic Textual Similarity
on MRPC
UNISON: Unpaired Cross-lingual Image Captioning
In this work, we present a novel unpaired cross-lingual method to generate image captions without relying on any caption corpus in the source or the target language.
Automated Computer Evaluation of Acute Ischemic Stroke and Large Vessel Occlusion
In this paper, we utilized both structural and imaging data from all recorded acute ischemic stroke patients in Hong Kong.
Automated Segmentation for Hyperdense Middle Cerebral Artery Sign of Acute Ischemic Stroke on Non-Contrast CT Images
The hyperdense middle cerebral artery (MCA) dot sign has been reported as an important factor in the diagnosis of acute ischemic stroke due to large vessel occlusion.
Neural Machine Translation with External Phrase Memory
In this paper, we propose phraseNet, a neural machine translator with a phrase memory which stores phrase pairs in symbolic form, mined from corpus or specified by human experts.
