
-
Extragradient and Extrapolation Methods with Generalized Bregman Distances for Saddle Point Problems
In this work, we introduce two algorithmic frameworks, named Bregman ext...
read it
-
EventAnchor: Reducing Human Interactions in Event Annotation of Racket Sports Videos
The popularity of racket sports (e.g., tennis and table tennis) leads to...
read it
-
Sparse Sampling Kaczmarz-Motzkin Method with Linear Convergence
The randomized sparse Kaczmarz method was recently proposed to recover s...
read it
-
Multi-Model Least Squares-Based Recomputation Framework for Large Data Analysis
Most multilayer least squares (LS)-based neural networks are structured ...
read it
-
Decoupling Representation and Classifier for Noisy Label Learning
Since convolutional neural networks (ConvNets) can easily memorize noisy...
read it
-
UNetGAN: A Robust Speech Enhancement Approach in Time Domain for Extremely Low Signal-to-noise Ratio Condition
Speech enhancement at extremely low signal-to-noise ratio (SNR) conditio...
read it
-
PassVizor: Toward Better Understanding of the Dynamics of Soccer Passes
In soccer, passing is the most frequent interaction between players and ...
read it
-
Explanation of Reinforcement Learning Model in Dynamic Multi-Agent System
Recently, there has been increasing interest in transparency and interpr...
read it
-
Emotion Correlation Mining Through Deep Learning Models on Natural Language Text
Emotion analysis has been attracting researchers' attention. Most previo...
read it
-
Numerical approximations and error analysis of the Cahn-Hilliard equation with reaction rate dependent dynamic boundary conditions
We consider numerical approximations and error analysis for the Cahn-Hil...
read it
-
Convergence analysis of the time-stepping numerical methods for time-fractional nonlinear subdiffusion equations
In 1986, Dixon and McKee developed a discrete fractional Grönwall inequa...
read it
-
A lateral semicircular canal segmentation based geometric calibration for human temporal bone CT Image
Computed Tomography (CT) of the temporal bone has become an important me...
read it
-
Numerical Approximations and Error Analysis of the Cahn-Hilliard Equation with Dynamic Boundary Conditions
We consider the numerical approximations of the Cahn-Hilliard equation w...
read it
-
A positivity-preserving second-order BDF scheme for the Cahn-Hilliard equation with variable interfacial parameters
We present and analyze a new second-order finite difference scheme for t...
read it
-
Efficient Backbone Search for Scene Text Recognition
Scene text recognition (STR) is very challenging due to the diversity of...
read it
-
Single Channel Speech Enhancement Using Temporal Convolutional Recurrent Neural Networks
In recent decades, neural network based methods have significantly impro...
read it
-
All You Need Is Boundary: Toward Arbitrary-Shaped Text Spotting
Recently, end-to-end text spotting that aims to detect and recognize tex...
read it
-
A Generalized and Robust Method Towards Practical Gaze Estimation on Smart Phone
Gaze estimation for ordinary smart phone, e.g. estimating where the user...
read it
-
Learning Alignment for Multimodal Emotion Recognition from Speech
Speech emotion recognition is a challenging problem because human convey...
read it
-
User independent Emotion Recognition with Residual Signal-Image Network
User independent emotion recognition with large scale physiological sign...
read it
-
DELTA: A DEep learning based Language Technology plAtform
In this paper we present DELTA, a deep learning based language technolog...
read it
-
DeepDA: LSTM-based Deep Data Association Network for Multi-Targets Tracking in Clutter
The Long Short-Term Memory (LSTM) neural network based data association ...
read it
-
A Monaural Speech Enhancement Method for Robust Small-Footprint Keyword Spotting
Robustness against noise is critical for keyword spotting (KWS) in real-...
read it
-
Complexity of Dependencies in Bounded Domains, Armstrong Codes, and Generalizations
The study of Armstrong codes is motivated by the problem of understandin...
read it
-
Training GANs with Centripetal Acceleration
Training generative adversarial networks (GANs) often suffers from cycli...
read it
-
Estimation of Inter-Sentiment Correlations Employing Deep Neural Network Models
This paper focuses on sentiment mining and sentiment correlation analysi...
read it
-
A generative model of realistic brain cells with application to numerical simulation of diffusion-weighted MR signal
In this work, we introduce a novel computational framework that we devel...
read it
-
Grassmannian Codes with New Distance Measures for Network Coding
Subspace codes are known to be useful in error-correction for random net...
read it
-
Integrated Speech Enhancement Method Based on Weighted Prediction Error and DNN for Dereverberation and Denoising
Both reverberation and additive noises degrade the speech quality and in...
read it
-
Active Deep Learning for Classification of Hyperspectral Images
Active deep learning classification of hyperspectral images is considere...
read it
-
Feature Selection Based on Term Frequency and T-Test for Text Categorization
Much work has been done on feature selection. Existing methods are based...
read it
-
Inverse-Category-Frequency based supervised term weighting scheme for text categorization
Term weighting schemes often dominate the performance of many classifier...
read it