Search Results for author:
Found 19 papers, 9 papers with code
Jujeop: Korean Puns for K-pop Stars on Social Media
Jujeop is a type of pun and a unique way for fans to express their love for the K-pop stars they follow using Korean.
Semi-Supervised Domain Adaptation for Wildfire Detection
In this paper, we propose a novel protocol for wildfire detection, leveraging semi-supervised Domain Adaptation for object detection, accompanied by a corresponding dataset designed for use by both academics and industries.
Topological Learning for Motion Data via Mixed Coordinates
Topology can extract the structural information in a dataset efficiently.
TopP&R: Robust Support Estimation Approach for Evaluating Fidelity and Diversity in Generative Models
To the best of our knowledge, this is the first evaluation metric focused on the robust estimation of the support and provides its statistical consistency under noise.
Image-based Early Detection System for Wildfires
In this paper, we present our Wildfire Detection and Alert System which use machine learning to detect wildfire smoke with a high degree of accuracy and can send immediate alerts to users.
Restore from Restored: Single-image Inpainting
Recent image inpainting methods have shown promising results due to the power of deep learning, which can explore external information available from the large training dataset.
Home and destination attachment: study of cultural integration on Twitter
In particular, the common language between home and destination countries corresponds to increased home attachment, as does low proficiency in the host language.
Restore from Restored: Single-image Inpainting
Recent image inpainting methods show promising results due to the power of deep learning, which can explore external information available from a large training dataset.
Vector meson mass in the chiral symmetry restored vacuum
By taking the chiral symmetry breaking part to be zero while keeping the symmetric operator to the vacuum value, we find that the chiral symmetric part of the vector and axial vector meson mass to be between 550 and 600 MeV.
Nuclear Theory High Energy Physics - Phenomenology Nuclear Experiment
PLLay: Efficient Topological Layer based on Persistent Landscapes
We propose PLLay, a novel topological layer for general deep learning models based on persistence landscapes, in which we can efficiently exploit the underlying topological features of the input data structure.
Generalized Penalty for Circular Coordinate Representation
We provide simulation experiments and real data analysis to support our claim that circular coordinates with generalized penalty will detect the change in high-dimensional datasets under different sampling schemes while preserving the topological structures.
NTIRE 2020 Challenge on Image Demoireing: Methods and Results
Track 1 targeted the single image demoireing problem, which seeks to remove moire patterns from a single image.
PLLay: Efficient Topological Layer based on Persistence Landscapes
We propose PLLay, a novel topological layer for general deep learning models based on persistence landscapes, in which we can efficiently exploit the underlying topological features of the input data structure.
Diagnosis of Pediatric Obstructive Sleep Apnea via Face Classification with Persistent Homology and Convolutional Neural Networks
Obstructive sleep apnea is a serious condition causing a litany of health problems especially in the pediatric population.
Time Series Featurization via Topological Data Analysis
We develop a novel algorithm for feature extraction in time series data by leveraging tools from topological data analysis.
Causal effects based on distributional distances
In this paper we develop a framework for characterizing causal effects via distributional distances.
Out-of-Core and Distributed Algorithms for Dense Subtensor Mining
Can we detect it when data are too large to fit in memory or even on a disk?
Databases Distributed, Parallel, and Cluster Computing Social and Information Networks H.2.8
Statistical Inference for Cluster Trees
A cluster tree provides a highly-interpretable summary of a density function by representing the hierarchy of its high-density clusters.
Introduction to the R package TDA
The salient topological features of the sublevel sets (or superlevel sets) of these functions can be quantified with persistent homology.
Mathematical Software Computational Geometry Computation
