
IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks
Retinal vessel segmentation is of great interest for diagnosis of retina...
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lamBERT: Language and Action Learning Using Multimodal BERT
Recently, the bidirectional encoder representations from transformers (B...
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Motion Planning through Demonstration to Deal with Complex Motions in Assembly Process
Complex and skillful motions in actual assembly process are challenging ...
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Modelfree Control of Chaos with Continuous Deep Qlearning
The OGY method is one of control methods for a chaotic system. In the me...
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5D Light Field Synthesis from a Monocular Video
Commercially available light field cameras have difficulty in capturing ...
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Shapeconditioned Image Generation by Learning Latent Appearance Representation from Unpaired Data
Conditional image generation is effective for diverse tasks including tr...
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Image based cellular contractile force evaluation with smallworld network inspired CNN: SWUNet
We propose an imagebased cellular contractile force evaluation method u...
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Joint Learning of Vessel Segmentation and Artery/Vein Classification with Postprocessing
Retinal imaging serves as a valuable tool for diagnosis of various disea...
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Maximizing Invariant Data Perturbation with Stochastic Optimization
Feature attribution methods, or saliency maps, are one of the most popul...
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Hypergraph pLaplacian: A Differential Geometry View
The graph Laplacian plays key roles in information processing of relatio...
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MPIIGaze: RealWorld Dataset and Deep AppearanceBased Gaze Estimation
Learningbased methods are believed to work well for unconstrained gaze ...
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On and OffPolicy Monotonic Policy Improvement
Monotonic policy improvement and offpolicy learning are two main desira...
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Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition
Spectral decomposition of the Koopman operator is attracting attention a...
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Efficient Decision Trees for Multiclass Support Vector Machines Using Entropy and Generalization Error Estimation
We propose new methods for Support Vector Machines (SVMs) using tree arc...
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Relaxation heuristics for the set multicover problem with generalized upper bound constraints
We consider an extension of the set covering problem (SCP) introducing (...
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Efficient learning with robust gradient descent
Minimizing the empirical risk is a popular training strategy, but for le...
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Fusion of EEG and Musical Features in Continuous Musicemotion Recognition
Emotion estimation in music listening is confronting challenges to captu...
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It's Written All Over Your Face: FullFace AppearanceBased Gaze Estimation
Eye gaze is an important nonverbal cue for human affect analysis. Recen...
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Selective Inference Approach for Statistically Sound Predictive Pattern Mining
Discovering statistically significant patterns from databases is an impo...
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Learning Instrumental Variables with NonGaussianity Assumptions: Theoretical Limitations and Practical Algorithms
Learning a causal effect from observational data is not straightforward,...
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Multiview Rectification of Folded Documents
Digitally unwrapping images of paper sheets is crucial for accurate docu...
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RotationNet: Joint Object Categorization and Pose Estimation Using Multiviews from Unsupervised Viewpoints
We propose a Convolutional Neural Network (CNN)based model "RotationNet...
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Identifying Higherorder Combinations of Binary Features
Finding statistically significant interactions between binary variables ...
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Significant Subgraph Mining with Multiple Testing Correction
The problem of finding itemsets that are statistically significantly enr...
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Causal Discovery in a Binary Exclusiveor Skew Acyclic Model: BExSAM
Discovering causal relations among observed variables in a given data se...
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Identifiability of an Integer Modular Acyclic Additive Noise Model and its Causal Structure Discovery
The notion of causality is used in many situations dealing with uncertai...
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Anomaly detection in reconstructed quantum states using a machinelearning technique
The accurate detection of small deviations in given density matrices is ...
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Clustering for highdimension, lowsample size data using distance vectors
In highdimension, lowsample size (HDLSS) data, it is not always true t...
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Learning LiNGAM based on data with more variables than observations
A very important topic in systems biology is developing statistical meth...
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Joint estimation of linear nonGaussian acyclic models
A linear nonGaussian structural equation model called LiNGAM is an iden...
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MerlinArthur with efficient quantum Merlin and quantum supremacy for the second level of the Fourier hierarchy
It is a longstanding open problem whether quantum computing can be veri...
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An Empirical Study on the Impact of Refactoring Activities on Evolving ClientUsed APIs
Context: Refactoring is recognized as an effective practice to maintain ...
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On the Impact of MicroPackages: An Empirical Study of the npm JavaScript Ecosystem
The rise of usercontributed Open Source Software (OSS) ecosystems demon...
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Do Developers Update Their Library Dependencies? An Empirical Study on the Impact of Security Advisories on Library Migration
Thirdparty library reuse has become common practice in contemporary sof...
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PlaneCasting: 3D Cursor Control with a SmartPhone
We present PlaneCasting, a novel technique for 3D object manipulation f...
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Forecasting User Attention During Everyday Mobile Interactions Using DeviceIntegrated and Wearable Sensors
Users' visual attention is highly fragmented during mobile interactions ...
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Data driven time scale in Gaussian quasilikelihood inference
We study parametric estimation of ergodic diffusions observed at high fr...
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REST: RealtoSynthetic Transform for Illumination Invariant Camera Localization
Accurate camera localization is an essential part of tracking systems. H...
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Dimensionality's Blessing: Clustering Images by Underlying Distribution
Many high dimensional vector distances tend to a constant. This is typic...
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A General Formula for the Stationary Distribution of the Age of Information and Its Application to SingleServer Queues
This paper considers the stationary distribution of the age of informati...
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Probabilistic Plant Modeling via MultiView ImagetoImage Translation
This paper describes a method for inferring threedimensional (3D) plant...
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On the List Decodability of Insertions and Deletions
List decoding of insertions and deletions is studied. A Johnsontype upp...
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Metric for Automatic Machine Translation Evaluation based on Universal Sentence Representations
Sentence representations can capture a wide range of information that ca...
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Experiments on Learning Based Industrial Binpicking with Iterative Visual Recognition
This paper shows experimental results on learning based randomized binp...
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Tool Exchangeable Grasp/Assembly Planner
This paper proposes a novel assembly planner for a manipulator which can...
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Learning Based Industrial Binpicking Trained with Approximate Physics Simulator
In this research, we tackle the problem of picking an object from random...
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Recursive Neural Network Based Preordering for EnglishtoJapanese Machine Translation
The word order between source and target languages significantly influen...
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Metric on Nonlinear Dynamical Systems with Koopman Operators
The development of a metric for structural data is a longterm problem i...
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A Survey of Domain Adaptation for Neural Machine Translation
Neural machine translation (NMT) is a deep learning based approach for m...
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iParaphrasing: Extracting Visually Grounded Paraphrases via an Image
A paraphrase is a restatement of the meaning of a text in other words. P...
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