Treewidth is as an important parameter that yields tractability for many...
Multimodal Named Entity Recognition (MNER) is a crucial task for informa...
Optical flow estimation aims to find the 2D motion field by identifying
...
Glaucoma is the second leading cause of blindness and is the leading cau...
Deep neural networks (DNNs) trained on one set of medical images often
e...
Medical image segmentation is important for computer-aided diagnosis. Go...
The Metric Dimension problem asks for a minimum-sized resolving set in a...
The notion of forbidden-transition graphs allows for a robust generaliza...
Inspired by Bitcoin, many different kinds of cryptocurrencies based on
b...
We study the Many Visits TSP problem, where given a number k(v) for each...
Convolutional Neural Networks (CNNs) are known to be brittle under vario...
Background: Loop closure detection is a crucial part in robot navigation...
To achieve robust and accurate state estimation for robot navigation, we...
Given a graph G=(V,E) and an integer k, the Cluster Editing problem asks...
Given a set P of points in the Euclidean plane and two triangulations
of...
Deep learning for medical image classification faces three major challen...
This paper aims to learn a compact representation of a video for video f...
Facial pose estimation has gained a lot of attentions in many practical
...
Machine learning as a service has been widely deployed to utilize deep n...
We study multi-budgeted variants of the classic minimum cut problem and ...
Smart grid adopts two-way communication and rich functionalities to gain...
We study the Independent Feedback Vertex Set problem - a variant of the
...
Deep neural networks (DNNs) have achieved tremendous success in many tas...
Neural Style Transfer based on Convolutional Neural Networks (CNN) aims ...
This document is about the multi-document Von-Mises-Fisher mixture model...
PSDVec is a Python/Perl toolbox that learns word embeddings, i.e. the ma...
Word embedding maps words into a low-dimensional continuous embedding sp...
Most existing word embedding methods can be categorized into Neural Embe...
Factorized Information Criterion (FIC) is a recently developed informati...
Factorial hidden Markov models (FHMMs) are powerful tools of modeling
se...