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Oct 22, 2019
By sharonz
Machine Learning
Computer Vision

Establishing an Evaluation Metric to Quantify Climate Change Image …

With success on controlled tasks, generative models are being increasingly applied to humanitarian applications [1,2]. In this paper, we focus on the…
Oct 22, 2019
By aoli
Robotics
Multiagent Systems

Multiple criteria decision-making for lane-change model

Simulation has long been an essential part of testing autonomous driving systems, but only recently has simulation been useful for building and train…
Oct 22, 2019
Human-Computer Interaction

Gesture Agreement Assessment Using Description Vectors

Participatory design is a popular design technique that involves the end users in the early stages of the design process to obtain user-friendly gest…
Oct 22, 2019
Computation and Language

In this work, we have introduced two models for inferring decompositional semantic graph structures from text: a pipeline system and a joint parsing-as-transduction model. The joint parser that we have introduced is comparable to or better than the …

Transductive Parsing for Universal Decompositional Semantics

We introduce a transductive model for parsing into Universal Decompositional Semantics (UDS) representations, which jointly learns to map natural lan…
Oct 22, 2019
Machine Learning
Signal Processing

Mask Combination of Multi-layer Graphs for Global Structure Inference

Structure inference is an important task for network data processing and analysis in data science. In recent years, quite a few approaches have been …
Oct 22, 2019
By chzhang
Computer Vision

Beyond Human Parts: Dual Part-Aligned Representations for Person Re…

Person re-identification is a challenging task due to various complex factors. Recent studies have attempted to integrate human parsing results or ex…
Oct 22, 2019
Multiagent Systems
Machine Learning
Robotics
Systems and Control
Signal Processing

Distributed interference cancellation in multi-agent scenarios

This paper considers the problem of detecting impaired and noisy nodes over network. In a distributed algorithm, lots of processing units are incorpo…
Oct 22, 2019
Sound
Machine Learning
Audio and Speech Processing

Cross-Representation Transferability of Adversarial Perturbations: Fr…

This paper shows the susceptibility of spectrogram-based audio classifiers to adversarial attacks and the transferability of such attacks to audio wa…
Oct 22, 2019
Audio and Speech Processing
Machine Learning
Sound
Signal Processing

Modeling plate and spring reverberation using a DSP-informed deep neu…

Plate and spring reverberators are electromechanical systems first used and researched as means to substitute real room reverberation. Nowadays they …
Oct 22, 2019
By J.Tang
Optimization and Control
Computer Vision

The Practicality of Stochastic Optimization in Imaging Inverse Proble…

In this work we investigate the practicality of stochastic gradient descent and recently introduced variants with variance-reduction techniques in im…
Oct 22, 2019
Image and Video Processing
Computer Vision
Machine Learning

Image processing in DNA

The main obstacles for the practical deployment of DNA-based data storage platforms are the prohibitively high cost of synthetic DNA and the large nu…
Oct 22, 2019
Computer Vision

Torchreid: A Library for Deep Learning Person Re-Identification in …

Person re-identification (re-ID), which aims to re-identify people across different camera views, has been significantly advanced by deep learning in…
Oct 22, 2019
Machine Learning

Continual Learning for Infinite Hierarchical Change-Point Detection

Change-point detection (CPD) aims to locate abrupt transitions in the generative model of a sequence of observations. When Bayesian methods are consi…
Oct 22, 2019
Information Retrieval
Machine Learning

From Personalization to Privatization: Meta Matrix Factorization for …

Matrix factorization (MF) techniques have been shown to be effective for rating predictions (RPs) in personalized recommender systems. Existing MF me…
Oct 22, 2019
By sam
Computation and Language
Audio and Speech Processing

Toward estimating personal well-being using voice

Estimating personal well-being draws increasing attention particularly from healthcare and pharmaceutical industries. We propose an approach to estim…
Oct 22, 2019
Machine Learning
Sound
Audio and Speech Processing

Improving singing voice separation with the Wave-U-Net using Minimum …

In recent years, deep learning has surpassed traditional approaches to the problem of singing voice separation. The Wave-U-Net is a recent deep netwo…
Oct 22, 2019
By aranjan
Computer Vision
Machine Learning
Image and Video Processing

Attacking Optical Flow

Deep neural nets achieve state-of-the-art performance on the problem of optical flow estimation. Since optical flow is used in several safety-critica…
Oct 22, 2019
Machine Learning

Uncertainty Quantification with Generative Models

We develop a generative model-based approach to Bayesian inverse problems, such as image reconstruction from noisy and incomplete images. Our framewo…
Oct 22, 2019
Artificial Intelligence
Machine Learning
Neural and Evolutionary Computation

Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Op…

In the last years, Artificial Intelligence (AI) has achieved a notable momentum that may deliver the best of expectations over many application secto…
Oct 22, 2019
Computer Vision
Machine Learning

Deep Set-to-Set Matching and Learning

Matching two sets of items, called set-to-set matching problem, is being recently raised. The difficulties of set-to-set matching over ordinary data …
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