Overfitting remedy by sparsifying regularization on fully-connected layers of CNNs
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.03.080
Abstract: Abstract Deep learning, especially Convolutional Neural Networks (CNNs), has been widely applied in many domains. The large number of parameters in a CNN allow it to learn complex features, however, they may tend to hinder… read more here.
Keywords: overfitting remedy; sparsifying regularization; connected layers; regularization ... See more keywords
Breast Cancer Classification Based on Fully-Connected Layer First Convolutional Neural Networks
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2817593
Abstract: Both Wisconsin diagnostic breast cancer (WDBC) database and the Wisconsin breast cancer database (WBCD) are structured datasets described by cytological features. In this paper, we were seeking to identify ways improve the classification performance for… read more here.
Keywords: classification; layer; breast cancer; fully connected ... See more keywords
A GPU-Based Quantum Annealing Simulator for Fully-Connected Ising Models Utilizing Spatial and Temporal Parallelism
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2985699
Abstract: Simulated quantum annealing (SQA) is a probabilistic approximation method to find a solution for a combinatorial optimization problem using digital computers. The processing time of SQA increases exponentially with the number of variables. Therefore, acceleration… read more here.
Keywords: annealing simulator; based quantum; gpu based; fully connected ... See more keywords
Improved Modeling of Microwave Structures Using Performance-Driven Fully-Connected Regression Surrogate
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3078432
Abstract: Fast replacement models (or surrogates) have been widely applied in the recent years to accelerate simulation-driven design procedures in microwave engineering. The fundamental reason is a considerable—and often prohibitive—CPU cost of massive full-wave electromagnetic (EM)… read more here.
Keywords: performance; connected regression; fully connected; performance driven ... See more keywords
A Fully Connected Quantum Convolutional Neural Network for Classifying Ischemic Cardiopathy
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3232307
Abstract: The prevalence of heart diseases is rising quickly throughout the world, which has an impact on both the world economy and public health. According to the recent statistical survey reports, the increasing mortality rate is… read more here.
Keywords: neural network; network; connected quantum; convolutional neural ... See more keywords
A 25–30 GHz Fully-Connected Hybrid Beamforming Receiver for MIMO Communication
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Journal of Solid-State Circuits"
DOI: 10.1109/jssc.2018.2789402
Abstract: This paper presents a “fully-connected” hybrid beamforming receiver that independently weights each element in an antenna array prior to separate downconversion chains that output independent baseband streams. A receiver architecture is introduced, which implements RF-domain… read more here.
Keywords: hybrid beamforming; fully connected; beamforming receiver; connected hybrid ... See more keywords
FCSN 3-D PU: Fully Connected Spatiotemporal Network Based 3-D Phase Unwrapping
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3256639
Abstract: Phase unwrapping (PU) based on spatial networks is a key procedure in time series synthetic aperture radar interferometry (TS-InSAR). Although the state-of-the-art techniques have shown good success in common cases, their performance remained uncertain in… read more here.
Keywords: network; phase unwrapping; connected spatiotemporal; spatiotemporal network ... See more keywords
Multi-Stream Spatial Digital Predistortion for Fully-Connected Hybrid Beamforming Massive MIMO Transmitters
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2021.3072591
Abstract: In this paper, a novel multi-stream spatial digital predistortion (DPD) technique is proposed to model and linearize the fully-connected (FC) hybrid beamforming (HBF) transmitters. The proposed scheme solves the DPD implementation issue in the FC… read more here.
Keywords: stream spatial; fully connected; multi stream; spatial digital ... See more keywords
Discriminative Training of Deep Fully Connected Continuous CRFs With Task-Specific Loss
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2017.2675166
Abstract: Recent works on deep conditional random fields (CRFs) have set new records on many vision tasks involving structured predictions. Here, we propose a fully connected deep continuous CRF model with task-specific losses for both discrete… read more here.
Keywords: task; specific loss; task specific; crfs ... See more keywords
Fully Connected Network-Based Intra Prediction for Image Coding
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2018.2817044
Abstract: This paper proposes a deep learning method for intra prediction. Different from traditional methods utilizing some fixed rules, we propose using a fully connected network to learn an end-to-end mapping from neighboring reconstructed pixels to… read more here.
Keywords: image; network; connected network; fully connected ... See more keywords
Fully Connected Networks on a Diet With the Mediterranean Matrix Multiplication.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3176197
Abstract: This article proposes the Mediterranean matrix multiplication, a new, simple and practical randomized algorithm that samples angles between the rows and columns of two matrices with sizes m, n, and p to approximate matrix multiplication… read more here.
Keywords: matrix multiplication; connected networks; mediterranean matrix; fully connected ... See more keywords