
Atomistic structure learning
One endeavour of modern physical chemistry is to use bottomup approache...
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Approximation Algorithms for MultiRobot PatrolScheduling with MinMax Latency
We consider the problem of finding patrol schedules for k robots to visi...
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Bag of Color Features For Color Constancy
In this paper, we propose a novel color constancy approach, called Bag o...
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Learning to Find Hydrological Corrections
High resolution Digital Elevation models, such as the (Big) grid terrain...
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UnsuperPoint: Endtoend Unsupervised Interest Point Detector and Descriptor
It is hard to create consistent ground truth data for interest points in...
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Improving Efficiency in Convolutional Neural Network with Multilinear Filters
The excellent performance of deep neural networks has enabled us to solv...
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Multilinear ClassSpecific Discriminant Analysis
There has been a great effort to transfer linear discriminant techniques...
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Fast Exact kMeans, kMedians and Bregman Divergence Clustering in 1D
The kMeans clustering problem on n points is NPHard for any dimension ...
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Computation of Stackelberg Equilibria of Finite Sequential Games
The Stackelberg equilibrium solution concept describes optimal strategie...
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Automatic Measurement of Preaspiration
Preaspiration is defined as the period of glottal friction occurring in...
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Temporal Attention augmented Bilinear Network for Financial TimeSeries Data Analysis
Financial timeseries forecasting has long been a challenging problem be...
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Tensor Representation in HighFrequency Financial Data for Price Change Prediction
Nowadays, with the availability of massive amount of trade data collecte...
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Clear Visual Separation of Temporal Event Sequences
Extracting and visualizing informative insights from temporal event sequ...
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Constructive Discrepancy Minimization with Hereditary L2 Guarantees
In discrepancy minimization problems, we are given a family of sets S = ...
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Tight Cell Probe Bounds for Succinct Boolean MatrixVector Multiplication
The conjectured hardness of Boolean matrixvector multiplication has bee...
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An empirical and theoretical critique of the Euclidean index
The recently proposed Euclidean index offers a novel approach to measure...
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Agglomerative Clustering of Growing Squares
We study an agglomerative clustering problem motivated by interactive gl...
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Subspace Support Vector Data Description
This paper proposes a novel method for solving oneclass classification ...
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Estimation of the linear fractional stable motion
In this paper we investigate the parametric inference for the linear fra...
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Upper and lower bounds for dynamic data structures on strings
We consider a range of simply stated dynamic data structure problems on ...
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Towards 5G Enabled Tactile Robotic Telesurgery
Robotic telesurgery has a potential to provide extreme and urgent health...
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Heterogeneous Multilayer Generalized Operational Perceptron
The traditional Multilayer Perceptron (MLP) using McCullochPitts neuron...
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Reliable IoT Storage: Minimizing Bandwidth Use in Storage Without Newcomer Nodes
This letter characterizes the optimal policies for bandwidth use and sto...
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Fully Understanding the Hashing Trick
Feature hashing, also known as the hashing trick, introduced by Weinber...
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Phasetype distributions in population genetics
Probability modelling for DNA sequence evolution is well established and...
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A Faster External Memory Priority Queue with DecreaseKeys
A priority queue is a fundamental data structure that maintains a dynami...
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Batch Sparse Recovery, or How to Leverage the Average Sparsity
We introduce a batch version of sparse recovery, where the goal is to re...
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Progressive Operational Perceptron with Memory
Generalized Operational Perceptron (GOP) was proposed to generalize the ...
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VirtualIdentity: PrivacyPreserving User Profiling
User profiling from user generated content (UGC) is a common practice th...
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On the Composability of Statistically Secure Random Oblivious Transfer
We show that standalone statistically secure random oblivious transfer ...
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Machine Learning for Forecasting Mid Price Movement using Limit Order Book Data
Forecasting the movements of stock prices is one the most challenging pr...
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Cosimulation of Continuous Systems: A Tutorial
Cosimulation consists of the theory and techniques to enable global sim...
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Using Deep Learning for price prediction by exploiting stationary limit order book features
The recent surge in Deep Learning (DL) research of the past decade has s...
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Lower Bounds for Oblivious Data Structures
An oblivious data structure is a data structure where the memory access ...
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Lower Bounds for External Memory Integer Sorting via Network Coding
Sorting extremely large datasets is a frequently occuring task in practi...
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Coverage Centrality Maximization in Undirected Networks
Centrality metrics are among the main tools in social network analysis. ...
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Class Mean Vector Component and Discriminant Analysis for Kernel Subspace Learning
The kernel matrix used in kernel methods encodes all the information req...
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Probabilistic ClassSpecific Discriminant Analysis
In this paper we formulate a probabilistic model for classspecific disc...
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Generalized Deduplication: Bounds, Convergence, and Asymptotic Properties
We study a generalization of deduplication, which enables lossless dedup...
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The h index and multiauthor h_m index for individual researchers in condensed matter physics
The characteristics of the h index in the field of condensed matter phys...
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Redactable Blockchain in the Permissionless Setting
Bitcoin is an immutable permissionless blockchain system that has been e...
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Temporal Logistic Neural BagofFeatures for Financial Time series Forecasting leveraging Limit Order Book Data
Time series forecasting is a crucial component of many important applica...
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Optimal Minimal Margin Maximization with Boosting
Boosting algorithms produce a classifier by iteratively combining base h...
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Deep Adaptive Input Normalization for Price Forecasting using Limit Order Book Data
Deep Learning (DL) models can be used to tackle time series analysis tas...
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Dynamic Planar Convex Hull
In this article, we determine the amortized computational complexity of ...
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Lower Bounds for Multiplication via Network Coding
Multiplication is one of the most fundamental computational problems, ye...
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A statistical view on a surrogate model for estimating extreme events with an application to wind turbines
In the present paper we propose a surrogate model, which particularly ai...
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Reconstruction of rRegular Objects from Trinary Images
We study digital images of rregular objects where a pixel is black if i...
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Tracking the Consumption Junction: Temporal Dependencies between Articles and Advertisements in Dutch Newspapers
Historians have regularly debated whether advertisements can be used as ...
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A StayinaSet Game without a Stationary Equilibrium
We give an example of a finitestate twoplayer turnbased stochastic ga...
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