
Aesthetic Attributes Assessment of Images
Image aesthetic quality assessment has been a relatively hot topic durin...
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Memoryefficient Kernel PCA via Partial Matrix Sampling and Nonconvex Optimization: a Modelfree Analysis of Local Minima
Kernel PCA is a widely used nonlinear dimension reduction technique in m...
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3D Textured Model Encryption via 3D Lu Chaotic Mapping
In the coming Virtual/Augmented Reality (VR/AR) era, 3D contents will be...
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Predicting Aesthetic Score Distribution through Cumulative JensenShannon Divergence
Aesthetic quality prediction is a challenging task in the computer visio...
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Single Reference Image based Scene Relighting via Material Guided Filtering
Image relighting is to change the illumination of an image to a target i...
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Efficient Privacy Preserving ViolaJones Type Object Detection via Random Base Image Representation
A cloud server spent a lot of time, energy and money to train a ViolaJo...
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Subspace Perspective on Canonical Correlation Analysis: Dimension Reduction and Minimax Rates
Canonical correlation analysis (CCA) is a fundamental statistical tool f...
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Convexified Modularity Maximization for Degreecorrected Stochastic Block Models
The stochastic block model (SBM) is a popular framework for studying com...
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Efficient Deep Aesthetic Image Classification using Connected Local and Global Features
In this paper we investigate the aesthetic image classification problem,...
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Optimal Rates of Convergence for Noisy Sparse Phase Retrieval via Thresholded Wirtinger Flow
This paper considers the noisy sparse phase retrieval problem: recoverin...
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Robust and computationally feasible community detection in the presence of arbitrary outlier nodes
Community detection, which aims to cluster N nodes in a given graph into...
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Compressed Sensing and Matrix Completion with Constant Proportion of Corruptions
We improve existing results in the field of compressed sensing and matri...
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When Do Birds of a Feather Flock Together? KMeans, Proximity, and Conic Programming
Given a set of data, one central goal is to group them into clusters bas...
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Convex Relaxation Methods for Community Detection
This paper surveys recent theoretical advances in convex optimization ap...
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Nonconvex Rectangular Matrix Completion via Gradient Descent without ℓ_2,∞ Regularization
The analysis of nonconvex matrix completion has recently attracted much ...
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Facial Makeup Transfer Combining Illumination Transfer
To meet the women appearance needs, we present a novel virtual experienc...
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Convolutional Recurrent Neural Network Based Progressive Learning for Monaural Speech Enhancement
Recently, progressive learning has shown its capacity of improving speec...
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A Supervised Speech enhancement Approach with Residual Noise Control for Voice Communication
For voice communication, it is important to extract the speech from its ...
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Monaural Speech Enhancement with Recursive Learning in the Time Domain
In this paper, we propose a type of neural network with recursive learni...
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A Recursive Network with Dynamic Attention for Monaural Speech Enhancement
A person tends to generate dynamic attention towards speech under compli...
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Generalization of Machine Learning for Problem Reduction: A Case Study on Travelling Salesman Problems
Combinatorial optimization plays an important role in realworld problem...
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A Timedomain Monaural Speech Enhancement with Recursive Learning
In this paper, we propose a type of neural network with recursive learni...
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The IOA System for Deep Noise Suppression Challenge using a Framework Combining Dynamic Attention and Recursive Learning
This technical report describes our system that is submitted to the Deep...
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Consistency of Spectral Clustering on Hierarchical Stochastic Block Models
We propose a generic network model, based on the Stochastic Block Model,...
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Nonconvex Matrix Completion with Linearly Parameterized Factors
Techniques of matrix completion aim to impute a large portion of missing...
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