How To Read Research Papers

A causal learning framework for the analysis and interpretation of COVID-19 clinical data. (arXiv:2105.06998v1 [cs.LG])
We present a workflow for clinical data analysis that relies on Bayesian Structure Learning (BSL), an unsupervised learning approach, robust...

Optimal Virtual Network Embeddings for Tree Topologies. (arXiv:2105.07006v1 [cs.DS])
The performance of distributed and data-centric applications often critically depends on the interconnecting network. Applications are hence modeled as virtual...

SMURF: Self-Teaching Multi-Frame Unsupervised RAFT with Full-Image Warping. (arXiv:2105.07014v1 [cs.CV])
We present SMURF, a method for unsupervised learning of optical flow that improves state of the art on all benchmarks...

Efficient Quasi-Geodesics on the Stiefel Manifold. (arXiv:2105.07017v1 [math.NA])
Solving the so-called geodesic endpoint problem, i.e., finding a geodesic that connects two given points on a manifold, is at...

Chord Recognition- Music and Audio Information Retrieval. (arXiv:2105.07019v1 [cs.SD])
Music Information Retrieval (MIR) is a collaborative scientific study that help to build innovative information research themes, novel frameworks, and...

Urban Analytics: History, Trajectory, and Critique. (arXiv:2105.07020v1 [cs.CY])
Urban analytics combines spatial analysis, statistics, computer science, and urban planning to understand and shape city futures. While it promises...

A feasibility study of a hyperparameter tuning approach to automated inverse planning in radiotherapy. (arXiv:2105.07024v1 [physics.med-ph])
Radiotherapy inverse planning requires treatment planners to modify multiple parameters in the objective function to produce clinically acceptable plans. Due...

Minimal Cycle Representatives in Persistent Homology using Linear Programming: an Empirical Study with User's Guide. (arXiv:2105.07025v1 [math.AT])
Cycle representatives of persistent homology classes can be used to provide descriptions of topological features in data. However, the non-uniqueness...

A Monotone Approximate Dynamic Programming Approach for the Stochastic Scheduling, Allocation, and Inventory Replenishment Problem: Applications to Drone and Electric Vehicle Battery Swap Stations. (arXiv:2105.07026v1 [math.OC])
There is a growing interest in using electric vehicles (EVs) and drones for many applications. However, battery-oriented issues, including range...

Methods Included: Standardizing Computational Reuse and Portability with the Common Workflow Language. (arXiv:2105.07028v1 [cs.DC])
A widely used standard for portable multilingual data analysis pipelines would enable considerable benefits to scholarly publication reuse, research/industry collaboration,...

Learning a Universal Template for Few-shot Dataset Generalization. (arXiv:2105.07029v1 [cs.LG])
Few-shot dataset generalization is a challenging variant of the well-studied few-shot classification problem where a diverse training set of several...

The Benefit Of Temporally-Strong Labels In Audio Event Classification. (arXiv:2105.07031v1 [cs.SD])
To reveal the importance of temporal precision in ground truth audio event labels, we collected precise (~0.1 sec resolution) "strong"...

Variable Reduction For Quadratic Unconstrained Binary Optimization. (arXiv:2105.07032v1 [math.OC])
Quadratic Unconstrained Binary Optimization models are useful for solving a diverse range of optimization problems. Constraints can be added by...

Cause and Effect: Concept-based Explanation of Neural Networks. (arXiv:2105.07033v1 [cs.LG])
In many scenarios, human decisions are explained based on some high-level concepts. In this work, we take a step in...

Information Theoretic Key Agreement Protocol based on ECG signals. (arXiv:2105.07037v1 [cs.CR])
Wireless body area networks (WBANs) are becoming increasingly popular as they allow individuals to continuously monitor their vitals and physiological...

Post-processing Multi-Model Medium-Term Precipitation Forecasts Using Convolutional Neural Networks. (arXiv:2105.07043v1 [cs.LG])
The goal of this study was to improve the post-processing of precipitation forecasts using convolutional neural networks (CNNs). Instead of...

SA-GAN: Structure-Aware Generative Adversarial Network for Shape-Preserving Synthetic CT Generation. (arXiv:2105.07044v1 [eess.IV])
In medical image synthesis, model training could be challenging due to the inconsistencies between images of different modalities even with...

Hybrid Schr\"odinger-Feynman Simulation of Quantum Circuits With Decision Diagrams. (arXiv:2105.07045v1 [quant-ph])
Classical simulations of quantum computations are vital for the future development of this emerging technology. To this end, decision diagrams...

Slicing-Based AI Service Provisioning on Network Edge. (arXiv:2105.07052v1 [cs.NI])
Edge intelligence leverages computing resources on network edge to provide artificial intelligence (AI) services close to network users. As it...

Face Attributes as Cues for Deep Face Recognition Understanding. (arXiv:2105.07054v1 [cs.CV])
Deeply learned representations are the state-of-the-art descriptors for face recognition methods. These representations encode latent features that are difficult to...


Source: RSS news feeds for arXiv updates