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Sep 06, 2018
Optimization and Control
Machine Learning

In this paper, we propose the variance reduction based method for the convex and non-convex composition problem. We apply the stochastically controlled stochastic gradient to estimate inner function G(x) and the gradient of f(x). The query complexit…

Stochastically Controlled Stochastic Gradient for the Convex and No…

In this paper, we consider the convex and non-convex composition problem with the structure $\frac{1}{n}\sum\nolimits_{i = 1}^n {{F_i}( {G( x )} )}$,…
Jan 11, 2017
Methodology

Feature Screening in Large Scale Cluster Analysis

We propose a novel methodology for feature screening in clustering massive datasets, in which both the number of features and the number of observati…
Aug 04, 2017
Conferences: ICCV
Computer Vision

Multi-modal Factorized Bilinear Pooling with Co-Attention Learning fo…

Visual question answering (VQA) is challenging because it requires a simultaneous understanding of both the visual content of images and the textual …
Apr 16, 2019
Computer Vision

Shared Predictive Cross-Modal Deep Quantization

With explosive growth of data volume and ever-increasing diversity of data modalities, cross-modal similarity search, which conducts nearest neighbor…
Nov 14, 2016
Networking and Internet Architecture
Information Theory

Sub-channel and Power Allocation for Non-orthogonal Multiple Access …

In this paper, we study the resource allocation problem for a single-cell non-orthogonal multiple access (NOMA) relay network where an OFDM amplify-a…
Feb 10, 2017
Numerical Analysis

A finite element approximation for the stochastic Maxwell--Landau--…

The stochastic Landau--Lifshitz--Gilbert (LLG) equation coupled with the Maxwell equations (the so called stochastic MLLG system) describes the creat…
Aug 05, 2016
Information Theory

Wireless-Powered Two-Way Relaying with Power Splitting-based Energy …

This paper investigates a wireless-powered two-way relay network (WP-TWRN), in which two sources exchange information with the aid of one amplify-and…
Jun 30, 2019
Signal Processing
Information Theory
Machine Learning

Deep Learning for Hybrid 5G Services in Mobile Edge Computing Systems…

In this work, we consider a mobile edge computing system with both ultra-reliable and low-latency communications services and delay tolerant services…
Jul 31, 2017
Optics

Highly localized Brillouin scattering response in a photonic integrat…

The interaction of optical and acoustic waves via stimulated Brillouin scattering (SBS) has recently reached on-chip platforms, which has opened new …
Jan 20, 2017
Networking and Internet Architecture
Information Theory

On the Performance of X-Duplex Relaying

In this paper, we study a X-duplex relay system with one source, one amplify-and-forward (AF) relay and one destination, where the relay is equipped …
Oct 31, 2011
Data Analysis
Statistics and Probability
Chaotic Dynamics
Atmospheric and Oceanic Physics

Data assimilation in slow-fast systems using homogenized climate mode…

A deterministic multiscale toy model is studied in which a chaotic fast subsystem triggers rare transitions between slow regimes, akin to weather or …
Mar 11, 2014

A Broadband Polarization Catalog of Extragalactic Radio Sources

An understanding of cosmic magnetism requires converting the polarization properties of extragalactic radio sources into the rest-frame in which the …
Jun 18, 2019
Artificial Intelligence
Machine Learning
Robotics

Learning to Plan Hierarchically from Curriculum

We present a framework for learning to plan hierarchically in domains with unknown dynamics. We enhance planning performance by exploiting problem st…
Oct 26, 2013
Systems and Control
Robotics

Real-Time Planning with Primitives for Dynamic Walking over Uneven …

We present an algorithm for receding-horizon motion planning using a finite family of motion primitives for underactuated dynamic walking over uneven…
Jul 02, 2015
Numerical Analysis

A fast and well-conditioned spectral method for singular integral e…

We develop a spectral method for solving univariate singular integral equations over unions of intervals by utilizing Chebyshev and ultraspherical po…
Jun 05, 2018
Machine Learning

Cycle-Consistent Adversarial Learning as Approximate Bayesian Inferen…

We formalize the problem of learning interdomain correspondences in the absence of paired data as Bayesian inference in a latent variable model (LVM)…
Aug 08, 2015
Information Theory

An Adaptive Transmission Protocol for Wireless-Powered Cooperative …

In this paper, we consider a wireless-powered cooperative communication network, which consists of one hybrid access point (AP), one source and one r…
Jul 19, 2016
Computer Vision

Trunk-Branch Ensemble Convolutional Neural Networks for Video-based F…

Human faces in surveillance videos often suffer from severe image blur, dramatic pose variations, and occlusion. In this paper, we propose a comprehe…
Aug 19, 2013
Numerical Analysis

A finite element approximation for the stochastic Landau-Lifshitz-G…

The stochastic Landau--Lifshitz--Gilbert (LLG) equation describes the behaviour of the magnetization under the influence of the effective field consi…
Oct 19, 2016
Geometric Topology

Sizes of spaces of triangulations of 4-manifolds and balanced prese…

Let $M$ be any compact four-dimensional PL-manifold with or without boundary (e.g. the four-dimensional sphere or ball). Consider the space $T(M)$ of…
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