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Jan 06, 2018
Computer Vision
Cryptography and Security

Face Flashing: a Secure Liveness Detection Protocol based on Light …

Face authentication systems are becoming increasingly prevalent, especially with the rapid development of Deep Learning technologies. However, human …
Aug 24, 2012
Computational Geometry
Algebraic Topology

Computing Topological Persistence for Simplicial Maps

Algorithms for persistent homology and zigzag persistent homology are well-studied for persistence modules where homomorphisms are induced by inclusi…
Mar 20, 2019
Algebraic Topology
Computational Geometry

Local Versus Global Distances for Zigzag Persistence Modules

This short note establishes explicit and broadly applicable relationships between persistence-based distances computed locally and globally. In parti…
Jul 01, 2019
Graphics

Computational Design of Skinned Quad-Robots

We present a computational design system that assists users to model, optimize, and fabricate quad-robots with soft skins.Our system addresses the ch…
Apr 18, 2019
Information Retrieval
Computation and Language

Towards Open Intent Discovery for Conversational Text

Detecting and identifying user intent from text, both written and spoken, plays an important role in modelling and understand dialogs. Existing resea…
Jun 13, 2019
Databases
Computers and Society

A Countrywide Traffic Accident Dataset

Reducing traffic accidents is an important public safety challenge. However, the majority of studies on traffic accident analysis and prediction have…
Feb 14, 2015
Machine Learning

A Pseudo-Euclidean Iteration for Optimal Recovery in Noisy ICA

Independent Component Analysis (ICA) is a popular model for blind signal separation. The ICA model assumes that a number of independent source signal…
Mar 16, 2017
Computational Geometry

A quest to unravel the metric structure behind perturbed networks

Graphs and network data are ubiquitous across a wide spectrum of scientific and application domains. Often in practice, an input graph can be conside…
Jun 16, 2018
Machine Learning

Learning kernels that adapt to GPU

In recent years machine learning methods that nearly interpolate the data have achieved remarkable success. In many settings achieving near-zero trai…
Jun 07, 2017
Computation and Language

Insights into Analogy Completion from the Biomedical Domain

Analogy completion has been a popular task in recent years for evaluating the semantic properties of word embeddings, but the standard methodology ma…
Jul 06, 2009
Machine Learning
Data Structures and Algorithms

Learning Gaussian Mixtures with Arbitrary Separation

In this paper we present a method for learning the parameters of a mixture of $k$ identical spherical Gaussians in $n$-dimensional space with an arbi…
Oct 31, 2018
Machine Learning

MaSS: an Accelerated Stochastic Method for Over-parametrized Learning

In this paper we introduce MaSS (Momentum-added Stochastic Solver), an accelerated SGD method for optimizing over-parameterized networks. Our method …
Sep 18, 2015
Computational Geometry

Computing the Gromov-Hausdorff Distance for Metric Trees

The Gromov-Hausdorff (GH) distance is a natural way to measure distance between two metric spaces. We prove that it is $\mathrm{NP}$-hard to approxim…
Oct 12, 2016
Machine Learning

Minimax Filter: Learning to Preserve Privacy from Inference Attacks

Preserving privacy of continuous and/or high-dimensional data such as images, videos and audios, can be challenging with syntactic anonymization meth…
Apr 25, 2019
Sound
Machine Learning
Audio and Speech Processing

Divide and Conquer: A Deep CASA Approach to Talker-independent Monaur…

We address talker-independent monaural speaker separation from the perspectives of deep learning and computational auditory scene analysis (CASA). Sp…
Apr 27, 2014
Information Theory
Distributed
Parallel
and Cluster Computing
Networking and Internet Architecture
Performance

When Queueing Meets Coding: Optimal-Latency Data Retrieving Scheme in…

In this paper, we study the problem of reducing the delay of downloading data from cloud storage systems by leveraging multiple parallel threads, ass…
Dec 01, 2012
Social and Information Networks
Physics and Society

On the Role of Social Identity and Cohesion in Characterizing Online …

Two prevailing theories for explaining social group or community structure are cohesion and identity. The social cohesion approach posits that social…
Oct 04, 2014
Machine Learning
Artificial Intelligence

Gamma Processes, Stick-Breaking, and Variational Inference

While most Bayesian nonparametric models in machine learning have focused on the Dirichlet process, the beta process, or their variants, the gamma pr…
Feb 12, 2018
Machine Learning

Fast Interactive Image Retrieval using large-scale unlabeled data

An interactive image retrieval system learns which images in the database belong to a user's query concept, by analyzing the example images and feedb…
Nov 10, 2014
Computational Complexity

On Characterizing the Data Access Complexity of Programs

Technology trends will cause data movement to account for the majority of energy expenditure and execution time on emerging computers. Therefore, com…
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