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Correlation Filter Selection for Visual Tracking Using Reinforcement Learning
Correlation filter has been proven to be an effective tool for a number ...
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Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach
Weakly supervised semantic segmentation is a challenging task as it only...
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For2For: Learning to forecast from forecasts
This paper presents a time series forecasting framework which combines s...
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On Model Robustness Against Adversarial Examples
We study the model robustness against adversarial examples, referred to ...
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Deep Minimax Probability Machine
Deep neural networks enjoy a powerful representation and have proven eff...
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Fast Template Matching and Update for Video Object Tracking and Segmentation
In this paper, the main task we aim to tackle is the multi-instance semi...
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Lightweight and Unobtrusive Privacy Preservation for Remote Inference via Edge Data Obfuscation
The growing momentum of instrumenting the Internet of Things (IoT) with ...
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Manifold Adversarial Learning
The recently proposed adversarial training methods show the robustness t...
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Segmentation Mask Guided End-to-End Person Search
Person search aims to search for a target person among multiple images r...
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Hybrid Channel Based Pedestrian Detection
Pedestrian detection has achieved great improvements with the help of Co...
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A Scalable Deep Neural Network Architecture for Multi-Building and Multi-Floor Indoor Localization Based on Wi-Fi Fingerprinting
One of the key technologies for future large-scale location-aware servic...
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Phonetic Temporal Neural Model for Language Identification
Deep neural models, particularly the LSTM-RNN model, have shown great po...
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A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem
Financial portfolio management is the process of constant redistribution...
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IAN: The Individual Aggregation Network for Person Search
Person search in real-world scenarios is a new challenging computer vers...
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Enabling Automatic Certification of Online Auctions
We consider the problem of building up trust in a network of online auct...
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A Unified Gradient Regularization Family for Adversarial Examples
Adversarial examples are augmented data points generated by imperceptibl...
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Memory-augmented Neural Machine Translation
Neural machine translation (NMT) has achieved notable success in recent ...
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Stacked-VLAN-Based Modeling of Hybrid ISP Traffic Control Schemes and Service Plans Exploiting Excess Bandwidth in Shared Access Networks
The current practice of shaping subscriber traffic using a token bucket ...
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Essential formulae for restricted maximum likelihood and its derivatives associated with the linear mixed models
The restricted maximum likelihood method enhances popularity of maximum ...
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SemanticLock: An authentication method for mobile devices using semantically-linked images
We introduce SemanticLock, a single factor graphical authentication solu...
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Improve Blockchain Performance using Graph Data Structure and Parallel Mining
Blockchain technology is ushering in another break- out year, the challe...
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Hybrid Building/Floor Classification and Location Coordinates Regression Using A Single-Input and Multi-Output Deep Neural Network for Large-Scale Indoor Localization Based on
In this paper, we propose hybrid building/floor classification and floor...
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XJTLUIndoorLoc: A New Fingerprinting Database for Indoor Localization and Trajectory Estimation Based on Wi-Fi RSS and Geomagnetic Field
In this paper, we present a new location fingerprinting database compris...
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Some Moderate Deviations for Ewens-Pitman Sampling Model
Ewens-Pitman model has been successfully applied to various fields inclu...
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MTFS: Merkle Tree based File System
The blockchain technology has been changing ourdaily lives since the cry...
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On the Practical Implementation of Propagation Delay and Clock Skew Compensated High-Precision Time Synchronization Schemes with Resource-Constrained Sensor Nodes in Multi-Hop
In wireless sensor networks (WSNs), implementing a high-precision time s...
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Semi-Unsupervised Lifelong Learning for Sentiment Classification
Lifelong machine learning is a novel machine learning paradigm which con...
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On generalized Piterbarg-Berman function
This paper aims to evaluate the Piterbarg-Berman function given by PB_α^...
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Hierarchical Auxiliary Learning
Conventional application of convolutional neural networks (CNNs) for ima...
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Optimal Message Bundling with Delay and Synchronization Constraints in Wireless Sensor Networks
Message bundling is an effective way to reduce the energy consumption fo...
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Lessons Learned from Developing a Microservice Based Mobile Location-Based Crowdsourcing Platform
Research in Mobile Location-Based Crowdsourcing is hindered by a marked ...
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Towards Better Forecasting by Fusing Near and Distant Future Visions
Multivariate time series forecasting is an important yet challenging pro...
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Deep Normalization for Speaker Vectors
Deep speaker embedding has demonstrated state-of-the-art performance in ...
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A Novel Distributed Representation of News (DRNews) for Stock Market Predictions
In this study, a novel Distributed Representation of News (DRNews) model...
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Evaluation of Sampling Methods for Scatterplots
Given a scatterplot with tens of thousands of points or even more, a nat...
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Structure-Consistent Weakly Supervised Salient Object Detection with Local Saliency Coherence
Sparse labels have been attracting much attention in recent years. Howev...
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Casual and Hardcore Player Traits and Gratifications of Pokémon GO, Harry Potter: Wizards Unite, Ingress
Location-based games (LBG) impose virtual spaces on top of physical loca...
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