## MTP Multi Hypothesis Tracking and Prediction for Reduced Error Propagation

This paper addresses theproblem of cascading errors by focusing on the coupling between the trackingand prediction modules . Rather than relying on a single set of tracking results forprediction, our framework simultaneously reasons about multiple sets oftracking results . We show that this framework improves overall prediction performance over the standard single-hypothesistracking-prediction pipeline by up to 34.2% on the nuScenes dataset, with evenmore significant improvements (up to ~70%) when restricting the evaluation to challenging scenarios involving identity switches and fragments — all with anacceptable computation overhead .…

## Cutting Voxel Projector a New Approach to Construct 3D Cone Beam CT Operator

In this paper, we introduce a new class of projectors for 3D cone beamtomographic reconstruction . We construct a near-exact projector and backprojector that can beused especially for algebraic reconstruction techniques . We show that the cutting voxel projector achieves, especially for large cone beam angles, noticeably higher accuracy than the TT projector .…

## Hermite multiwavelets for manifold valued data

In this paper we present a construction of interpolatory Hermitemultiwavelets for functions that take values in nonlinear geometries such as Riemannian manifolds or Lie groups . We rely on the strong connection between wavelets and subdivision schemes to define a prediction-correction approach .…

## Fine Grained Complexity Theory Conditional Lower Bounds for Computational Geometry

Fine-grained complexity theory is the area of theoretical computer sciencethat proves conditional lower bounds based on the Strong Exponential TimeHypothesis and similar conjectures . This area has been thriving in the last decade, leading to conditionally best-possible algorithms for a wide variety of problems on graphs, strings, numbers etc.…

## Ctrl Shift How Privacy Sentiment Changed from 2019 to 2021

People’s privacy sentiments drive changes in legislation and may influencetheir willingness to use a variety of technologies . After the onset of COVID-19, we observe significant changes in Americans’ privacy sentimentstoward government- and health-related data uses . We observe additionalchanges in the context of other national events such as the U.S.…

## Model Order Estimation for A Sum of Complex Exponentials

In this paper, we present a new method for estimating the number of terms in a sum of exponentially damped sinusoids embedded in noise . We propose to combine the shift-invariance property of the Hankel matrix with a constraint over its singular values topenalize small order estimations .…

## Joint Spatial Division and Coaxial Multiplexing for Downlink Multi User OAM Wireless Backhaul

Orbital angular momentum (OAM) at radio frequency (RF) provides a novel approach of multiplexing a set of orthogonal modes on the same frequency channel to achieve high spectral efficiencies (SEs) At last, the proposed methods are extended to the downlink MU-OAM-MIMO wireless backhaul system equipped with uniform concentric circular arrays (UCCAs) for which much higher spectral efficiency (SE) and energy efficiency (EE) can be achieved .…

## Reconfigurable Intelligent Surface Enhanced OFDM Communications via Delay Adjustable Metasurface

Reconfigurable intelligent surface (RIS) is a promising technology forestablishing spectral- and energy-efficient wireless networks . In this paper, we study RIS-enhanced orthogonal frequency division multiplexing (OFDM)communications . We introduce the delay adjustablemetasurface (DAM) relying on varactor diodes . In contrast to existingreflecting elements, each one in DAM is capable of storing and retrieving theimpinging electromagnetic waves upon dynamically controlling itselectromagnetically induced transparency (EIT) properties .…

## Projected Model Counting Beyond Independent Support

The past decade has witnessed a surge of interest in practical techniques forprojected model counting . Despite significant advancements, performance scaling remains the Achilles’ heel of this field . Inapplications such as verification of binarized neural networks, quantification of information flow, reliability of power grids etc.,…

## Learning Realtime One Counter Automata

Ouralgorithm uses membership and equivalence queries as in Angluin’s L* algorithm . In a partialequivalence query, we ask the teacher whether the language of a givenfinite-state automaton coincides with a counter-bounded subset of the targetlanguage . We evaluate an implementation of our algorithm on a number of randombenchmarks .…

## Sequential Modeling with Multiple Attributes for Watchlist Recommendation in E Commerce

In e-commerce, the watchlist enables users to track items over time and hasemerged as a primary feature, playing an important role in users’ shopping journey . Watchlist items typically have multiple attributes whose values maychange over time (e.g., price, quantity) Since many users accumulate dozens of items on their watchlist, and since shopping intents change over time,recommending the top watchlist items in a given context can be valuable .…

## Don t Judge Me by My Face An Indirect Adversarial Approach to Remove Sensitive Information From Multimodal Neural Representation in Asynchronous Job Video Interviews

Adversarial methods have been proven to effectively remove sensitive information from the latent representation of neural networks without the need to collect any sensitive variable . This is the first application of adversarial techniques for obtaining a multimodal fair representation in the context of video job interviews .…

## DroneStick Flying Joystick as a Novel Type of Interface

DroneStick is a novel hands-free method for smooth interaction between a human and a robotic system via one of its agents . A flying joystick(DroneStick) is composed of a flying drone and coiled wire with a vibration motor . A potential application can enhance an automated `lastmile’ delivery when a recipient needs to guide a delivery drone/robot gently to a spot where a parcel has to be dropped .…

## Structured vector fitting framework for mechanical systems

In this paper, we develop a structure-preserving formulation of the data-driven vector fitting algorithm for the case of modally damped mechanical systems . We propose two possible structuredextensions of the barycentric formula of system transfer functions . Integrating these new forms within the classical vector fitting algorithms leads to theformulation of two new algorithms .…

## How to Effectively Identify and Communicate Person Targeting Media Bias in Daily News Consumption

Slanted news coverage has long been studied in the socialsciences, resulting in comprehensive models to describe it and effective yetcostly methods to analyze it . We present anin-progress system for news recommendation that is the first to automate themanual procedure of content analysis to reveal person-targeting biases in news articles reporting on policy issues .…

## Measuring Cognitive Status from Speech in a Smart Home Environment

By 2050, one in six people in the world will be over age 65 (up from one in 11 in 2019) Smart devices and smart home technology have potential to transform how people age, their ability to live independently in later years .…

## A Primer on the Statistical Relation between Wireless Ultra Reliability and Location Estimation

This letter statistically characterizes the impact of location estimationuncertainty in the wireless communication reliability . The reliability – characterized by how likely the outage probabilityis to be above a target threshold – can be sensitive to location errors . We highlight the difficulty of choosing a rate that both meets targetreliability and accounts for the location uncertainty, and that the most directsolutions suffer from being too conservative .…

## The search of Type I codes

A self-dual binary linear code is called Type I code if it has singly-evencodewords, i.e.~it has codewords with weight divisible by $2.$ The purpose of this paper is to investigate interesting properties of Type I codes . Further, we build up a computer-based code-searching program .…

## A Formalisation of Abstract Argumentation in Higher Order Logic

We present an approach for representing abstract argumentation frameworks based on an encoding into classical higher-order logic . This provides a uniform framework for computer-assisted assessment of abstract argumentations . This enables the formalanalysis and verification of meta-theoretical properties as well as theflexible generation of extensions and labellings with respect to well-known semantics .…