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Jan 15, 2021
Machine Learning

Local Search Algorithms for Rank-Constrained Convex Optimization

We propose greedy and local search algorithms for rank-constrained convex optimization, namely solving $\underset{\mathrm{rank}(A)\leq r^*}{\min}\, R…
Jan 15, 2021
Robotics
Computers and Society
Networking and Internet Architecture

Internet of Robotic Things: Current Technologies, Applications, Cha…

Nowadays, the Internet of Things (IoT) concept is gaining more and more notoriety bringing the number of connected devices to reach the order of bill…
Jan 15, 2021
Robotics
Artificial Intelligence

Local Navigation and Docking of an Autonomous Robot Mower using Rei…

We demonstrate a successful navigation and docking control system for the John Deere Tango autonomous mower, using only a single camera as the input.…
Jan 15, 2021
Computer Vision

Blind Image Deblurring based on Kernel Mixture

Blind Image deblurring tries to estimate blurriness and a latent image out of a blurred image. This estimation, as being an ill-posed problem, requir…
Jan 15, 2021
Machine Learning

Predictive Optimization with Zero-Shot Domain Adaptation

Prediction in a new domain without any training sample, called zero-shot domain adaptation (ZSDA), is an important task in domain adaptation. While p…
Jan 15, 2021
Computer Vision

Multi-point dimensionality reduction to improve projection layout r…

In ordinary Dimensionality Reduction (DR), each data instance in an m-dimensional space (original space) is mapped to one point in a d-dimensional sp…
Jan 15, 2021
Machine Learning
Artificial Intelligence
Logic in Computer Science

LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning

While designing inductive bias in neural architectures has been widely studied, we hypothesize that transformer networks are flexible enough to learn…
Jan 15, 2021
Human-Computer Interaction
Artificial Intelligence

Player-AI Interaction: What Neural Network Games Reveal About AI as P…

The advent of artificial intelligence (AI) and machine learning (ML) bring human-AI interaction to the forefront of HCI research. This paper argues t…
Jan 15, 2021
Computer Vision
Machine Learning

APEX-Net: Automatic Plot Extractor Network

Automatic extraction of raw data from 2D line plot images is a problem of great importance having many real-world applications. Several algorithms ha…
Jan 15, 2021
Machine Learning
Information Theory

Deciding What to Learn: A Rate-Distortion Approach

Agents that learn to select optimal actions represent a prominent focus of the sequential decision-making literature. In the face of a complex enviro…
Jan 15, 2021
Computer Vision

Temporal-Relational CrossTransformers for Few-Shot Action Recognition

We propose a novel approach to few-shot action recognition, finding temporally-corresponding frame tuples between the query and videos in the support…
Jan 15, 2021
Artificial Intelligence

Hierarchical Width-Based Planning and Learning

Width-based search methods have demonstrated state-of-the-art performance in a wide range of testbeds, from classical planning problems to image-base…
Jan 15, 2021
Computer Vision

PaddleSeg: A High-Efficient Development Toolkit for Image Segmentation

Image Segmentation plays an essential role in computer vision and image processing with various applications from medical diagnosis to autonomous car…
Jan 15, 2021
Computation and Language
Machine Learning

Empirical Evaluation of Supervision Signals for Style Transfer Models

Text style transfer has gained increasing attention from the research community over the recent years. However, the proposed approaches vary in many …
Jan 15, 2021
Machine Learning
Artificial Intelligence
Distributed
Parallel
and Cluster Computing

Probabilistic Inference for Learning from Untrusted Sources

Federated learning brings potential benefits of faster learning, better solutions, and a greater propensity to transfer when heterogeneous data from …
Jan 15, 2021
Machine Learning

A General Framework for Hypercomplex-valued Extreme Learning Machines

This paper aims to establish a framework for extreme learning machines (ELMs) on general hypercomplex algebras. Hypercomplex neural networks are mach…
Jan 15, 2021
Image and Video Processing
Computer Vision

Hyperspectral Image Classification -- Traditional to Deep Models: A …

Hyperspectral Imaging (HSI) has been extensively utilized in many real-life applications because it benefits from the detailed spectral information c…
Jan 15, 2021
Machine Learning
Computer Vision
Image and Video Processing
Quantitative Methods

It is not the purpose of this paper to dissuade either practitioners or methodologists from IR-DPI class methods; far from it, many of the current methods in the literature fall into this class, and it is clear that a component of generalization in …

Harmonization and the Worst Scanner Syndrome

We show that for a wide class of harmonization/domain-invariance schemes several undesirable properties are unavoidable. If a predictive machine is m…
Jan 15, 2021
Computer Vision

Deep Dual-resolution Networks for Real-time and Accurate Semantic S…

Semantic segmentation is a critical technology for autonomous vehicles to understand surrounding scenes. For practical autonomous vehicles, it is und…
Jan 15, 2021
Robotics
Systems and Control
Optimization and Control

Constraint Handling in Continuous-Time DDP-Based Model Predictive C…

The Sequential Linear Quadratic (SLQ) algorithm is a continuous-time variant of the well-known Differential Dynamic Programming (DDP) technique with …
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