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Jun 10, 2010
By bge

The LMC is the only disk galaxy where we can currently study interstellar motions on a range of scales covering a factor of 104 or more. An essential component of this study is the Spitzer Space Telescope, which provides the highest possible angular…

A Two-Component Power Law Covering Nearly Four Orders of Magnitude in…

Power spectra of Large Magellanic Cloud (LMC) emission at 24, 70 and 160 microns observed with the Spitzer Space Telescope have a two-component power…
Sep 13, 2013
By bge

Surveys of molecular clouds usually show a lack of self-gravity on small scales, with increasing self-gravity for more massive clouds. This trend is usually evident in a plot of the dimensionless virial parameter α (=Mvirial/M) versus the cloud mass…

GMC Origins and Turbulent Motions in Spiral and Dwarf Galaxies

CO clouds can be non-self-gravitating in high pressure environments, while most should be strongly self-gravitating at low metallicities and ambient …
Feb 11, 2018
By jinjun
Machine Learning
Computer Vision

On the Universal Approximability and Complexity Bounds of Quantized R…

Compression is a key step to deploy large neural networks on resource-constrained platforms. As a popular compression technique, quantization constra…
Jun 05, 2009
By cwwu
Mathematical Physics

We continue the study of normalized Laplacian matrices of graphs as density matrices and analyze their entanglement properties. We can classify the set of graphs into 3 categories.

On graphs whose Laplacian matrix's multipartite separability is inv…

Normalized Laplacian matrices of graphs have recently been studied in the context of quantum mechanics as density matrices of quantum systems. Of par…
Nov 23, 2018
Computation and Language
Information Retrieval

Fine Grained Classification of Personal Data Entities

Entity Type Classification can be defined as the task of assigning category labels to entity mentions in documents. While neural networks have recent…
Nov 21, 2018
By maneets
Computer Vision

Recognizing Disguised Faces in the Wild

Research in face recognition has seen tremendous growth over the past couple of decades. Beginning from algorithms capable of performing recognition …
Oct 17, 2018
By daspa
Quantitative Methods
Machine Learning

PepCVAE: Semi-Supervised Targeted Design of Antimicrobial Peptide S…

Given the emerging global threat of antimicrobial resistance, new methods for next-generation antimicrobial design are urgently needed. We report a p…
Jan 23, 2019
By dodgej
Human-Computer Interaction
Computers and Society

Explaining Models: An Empirical Study of How Explanations Impact Fa…

Ensuring fairness of machine learning systems is a human-in-the-loop process. It relies on developers, users, and the general public to identify fair…
Apr 23, 2018
Human-Computer Interaction

CardKit: A Card-Based Programming Framework for Drones

Drones are being used in many industries for a variety of applications, including inspecting bridges, surveying farm land, and delivering cargo. Auto…
May 31, 2018
Machine Learning
Artificial Intelligence

Defending Against Model Stealing Attacks Using Deceptive Perturbations

Machine learning models are vulnerable to simple model stealing attacks if the adversary can obtain output labels for chosen inputs. To protect again…
May 19, 2018
By cwwu
Machine Learning
Artificial Intelligence

Can machine learning identify interesting mathematics? An exploration…

We explore the possibility of using machine learning to identify interesting mathematical structures by using certain quantities that serve as finger…
Apr 18, 2018
Machine Learning
Artificial Intelligence
Information Retrieval

Scalable attribute-aware network embedding with localily

Adding attributes for nodes to network embedding helps to improve the ability of the learned joint representation to depict features from topology an…
Oct 11, 2008
By sbravyi
Statistical Mechanics
Strongly Correlated Electrons

A no-go theorem for a two-dimensional self-correcting quantum memory …

We study properties of stabilizer codes that permit a local description on a regular D-dimensional lattice. Specifically, we assume that the stabiliz…
Jul 17, 2018
By charu
Machine Learning
Social and Information Networks

Temporally Evolving Community Detection and Prediction in Content-C…

In this work, we consider the problem of combining link, content and temporal analysis for community detection and prediction in evolving networks. S…
Aug 20, 2009
By nmelena

Bright Ultraviolet Regions and Star Formation Characteristics in Near…

We compare star formation in the inner and outer disks of 11 dwarf Irregular galaxies (dIm) within 3.6 Mpc. The regions are identified on GALEX near-…
May 28, 2019
Machine Learning

Single-Net Continual Learning with Progressive Segmented Training (PS…

There is an increasing need of continual learning in dynamic systems, such as the self-driving vehicle, the surveillance drone, and the robotic syste…
Feb 11, 2008

The structure of degradable quantum channels

Degradable quantum channels are among the only channels whose quantum and private classical capacities are known. As such, determining the structure …
Sep 11, 2017
Social and Information Networks
Physics and Society

Principled Multilayer Network Embedding

Multilayer network analysis has become a vital tool for understanding different relationships and their interactions in a complex system, where each …
Oct 24, 2017
Software Engineering

What is the Connection Between Issues, Bugs, and Enhancements? (Lesso…

Agile teams juggle multiple tasks so professionals are often assigned to multiple projects, especially in service organizations that monitor and main…
Jun 14, 2018
Machine Learning

Structured Variational Learning of Bayesian Neural Networks with Ho…

Bayesian Neural Networks (BNNs) have recently received increasing attention for their ability to provide well-calibrated posterior uncertainties. How…
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