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Differential Evolution with Individuals Redistribution for Real Parameter Single Objective Optimization
Differential Evolution (DE) is quite powerful for real parameter single ...
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Most Probable Dynamics of Stochastic Dynamical Systems with Exponentially Light Jump Fluctuations
The emergence of the exit events from a bounded domain containing a stab...
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Deep Learning-based End-to-end Diagnosis System for Avascular Necrosis of Femoral Head
As the first diagnostic imaging modality of avascular necrosis of the fe...
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A regression-based method for detecting publication bias in multivariate meta-analysis
Publication bias occurs when the publication of research results depends...
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Illumination adaptive person reid based on teacher-student model and adversarial training
Most existing works in Person Re-identification (ReID) focus on settings...
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Nowhere to Hide: Cross-modal Identity Leakage between Biometrics and Devices
Along with the benefits of Internet of Things (IoT) come potential priva...
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Caching at Base Stations with Multi-Cluster Multicast Wireless Backhaul via Accelerated First-Order Algorithm
Cloud radio access network (C-RAN) has been recognized as a promising ar...
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Auto Completion of User Interface Layout Design Using Transformer-Based Tree Decoders
It has been of increasing interest in the field to develop automatic mac...
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Improved quantum algorithm for the random subset sum problem
We propose a quantum algorithm for solving random subset sum instances w...
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Area Queries Based on Voronoi Diagrams
The area query, to find all elements contained in a specified area from ...
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Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction
Distantly supervised relation extraction intrinsically suffers from nois...
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Efficient Spatial Nearest Neighbor Queries Based on Multi-layer Voronoi Diagrams
Nearest neighbor (NN) problem is an important scientific problem. The NN...
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A Heuristic Algorithm Based on Tour Rebuilding Operator for the Traveling Salesman Problem
TSP (Traveling Salesman Problem), a classic NP-complete problem in combi...
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A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning
In this paper, we proposed a general framework for data poisoning attack...
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Flow Models for Arbitrary Conditional Likelihoods
Understanding the dependencies among features of a dataset is at the cor...
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SuPer: A Surgical Perception Framework for Endoscopic Tissue Manipulation with Surgical Robotics
Traditional control and task automation have been successfully demonstra...
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Forecaster: A Graph Transformer for Forecasting Spatial and Time-Dependent Data
Spatial and time-dependent data is of interest in many applications. Thi...
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Snowball: Iterative Model Evolution and Confident Sample Discovery for Semi-Supervised Learning on Very Small Labeled Datasets
In this work, we develop a joint sample discovery and iterative model ev...
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What Happens on the Edge, Stays on the Edge: Toward Compressive Deep Learning
Machine learning at the edge offers great benefits such as increased pri...
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UGC-VIDEO: perceptual quality assessment of user-generated videos
Recent years have witnessed an ever-expandingvolume of user-generated co...
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Neural Plasticity Networks
Neural plasticity is an important functionality of human brain, in which...
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Proximal Policy Optimization with Mixed Distributed Training
Instability and slowness are two main problems in deep reinforcement lea...
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Inferring Latent dimension of Linear Dynamical System with Minimum Description Length
Time-invariant linear dynamical system arises in many real-world applica...
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Bayesian Optimization with Directionally Constrained Search
Bayesian optimization offers a flexible framework to optimize an objecti...
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Robustness Verification of Tree-based Models
We study the robustness verification problem for tree-based models, incl...
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Saliency detection based on structural dissimilarity induced by image quality assessment model
The distinctiveness of image regions is widely used as the cue of salien...
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Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks
Graph convolutional network (GCN) has been successfully applied to many ...
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Learning-based Rate Adaptation for Uplink Massive MIMO Networks with Cooperative Data-Assisted Detection
In this paper, the uplink adaptation for massive multiple-input-multiple...
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Downlink Goodput Analysis for D2D Underlaying Massive MIMO Networks
The performance of downlink massive multiple-input-multiple-output netwo...
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L_0-ARM: Network Sparsification via Stochastic Binary Optimization
We consider network sparsification as an L_0-norm regularized binary opt...
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Accurate and Fast reconstruction of Porous Media from Extremely Limited Information Using Conditional Generative Adversarial Network
Porous media are ubiquitous in both nature and engineering applications,...
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SADIH: Semantic-Aware DIscrete Hashing
Due to its low storage cost and fast query speed, hashing has been recog...
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Pose Graph Optimization for Unsupervised Monocular Visual Odometry
Unsupervised Learning based monocular visual odometry (VO) has lately dr...
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Optimisation and Comprehensive Evaluation of Alternative Energising Paths for Power System Restoration
Power system restoration after a major blackout is a complex process, in...
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Proving the NP-completeness of optimal moral graph triangulation
Moral graphs were introduced in the 1980s as an intermediate step when t...
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The Complexity of Morality: Checking Markov Blanket Consistency with DAGs via Morality
A family of Markov blankets in a faithful Bayesian network satisfies the...
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Modeling Mobile Interface Tappability Using Crowdsourcing and Deep Learning
Tapping is an immensely important gesture in mobile touchscreen interfac...
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Towards Touch-to-Access Device Authentication Using Induced Body Electric Potentials
This paper presents TouchAuth, a new touch-to-access device authenticati...
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A Forest from the Trees: Generation through Neighborhoods
In this work, we propose to learn a generative model using both learned ...
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Deep Neural Networks with Auxiliary-Model Regulated Gating for Resilient Multi-Modal Sensor Fusion
Deep neural networks allow for fusion of high-level features from multip...
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Phonetic-enriched Text Representation for Chinese Sentiment Analysis with Reinforcement Learning
The Chinese pronunciation system offers two characteristics that disting...
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Ensemble Feature for Person Re-Identification
In person re-identification (re-ID), the key task is feature representat...
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Face Recognition System
Deep learning is one of the new and important branches in machine learni...
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GaterNet: Dynamic Filter Selection in Convolutional Neural Network via a Dedicated Global Gating Network
The concept of conditional computation for deep nets has been proposed p...
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Implementation of Robust Face Recognition System Using Live Video Feed Based on CNN
The way to accurately and effectively identify people has always been an...
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An amplitudes-perturbation data augmentation method in convolutional neural networks for EEG decoding
Brain-Computer Interface (BCI) system provides a pathway between humans ...
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Fast Hyperparameter Optimization of Deep Neural Networks via Ensembling Multiple Surrogates
The performance of deep neural networks crucially depends on good hyperp...
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Learning to Screen for Fast Softmax Inference on Large Vocabulary Neural Networks
Neural language models have been widely used in various NLP tasks, inclu...
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Area Attention
Existing attention mechanisms, are mostly item-based in that a model is ...
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Boosted Convolutional Neural Networks for Motor Imagery EEG Decoding with Multiwavelet-based Time-Frequency Conditional Granger Causality Analysis
Decoding EEG signals of different mental states is a challenging task fo...
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