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Nov 20, 2018
Robotics
Computer Vision

Visual SLAM-based Localization and Navigation for Service Robots: T...

We propose a Visual-SLAM based localization and navigation system for service robots. Our system is built on top of the ORB-SLAM monocular system b...
Nov 20, 2018
Computer Vision
Machine Learning
Multimedia

A Baseline for Multi-Label Image Classification Using Ensemble Deep...

Recent studies on multi-label image classification have been focusing on designing more complex architectures of deep neural networks such as the u...
Nov 20, 2018
Computer Vision

Deep Convolutional Neural Network for Plant Seedlings Classification

Agriculture is vital for human survival and remains a major driver of several economies around the world; more so in underdeveloped and developing ...
Nov 20, 2018
By q.dong
Computer Vision

Single-Label Multi-Class Image Classification by Deep Logistic Re...

The objective learning formulation is essential for the success of convolutional neural networks. In this work, we analyse thoroughly the standard ...
Nov 20, 2018
Machine Learning
Data Structures and Algorithms
Neural and Evolutionary Computation

Gen-Oja: A Simple and Efficient Algorithm for Streaming Generalized...

In this paper, we study the problems of principal Generalized Eigenvector computation and Canonical Correlation Analysis in the stochastic setting....
Nov 20, 2018
Computer Vision
Machine Learning

Structured Pruning for Efficient ConvNets via Incremental Regulariz...

Parameter pruning is a promising approach for CNN compression and acceleration by eliminating redundant model parameters with tolerable performance...
Nov 20, 2018
By jilin
Computer Vision

Temporal Shift Module for Efficient Video Understanding

The explosive growth in online video streaming gives rise to challenges on efficiently extracting the spatial-temporal information to perform video...
Nov 20, 2018
By majos
Machine Learning

We thank Shahin Jabbari for feedback on an early draft and Akshay Krishnamurthy for useful discussion of the lower bound.

Locally Private Gaussian Estimation

We study a basic private estimation problem: each of $n$ users draws a single i.i.d. sample from an unknown Gaussian distribution, and the goal is ...
Nov 20, 2018
By kchen15
Sound
Artificial Intelligence
Machine Learning
Audio and Speech Processing

The Effect of Explicit Structure Encoding of Deep Neural Networks f...

With recent breakthroughs in artificial neural networks, deep generative models have become one of the leading techniques for computational creativ...
Nov 20, 2018
Machine Learning
Human-Computer Interaction
Sound
Audio and Speech Processing

A Gray Box Interpretable Visual Debugging Approach for Deep Sequenc...

Deep Learning algorithms are often used as black box type learning and they are too complex to understand. The widespread usability of Deep Learnin...
Nov 20, 2018
Artificial Intelligence

On a hypergraph probabilistic graphical model

We propose a directed acyclic hypergraph framework for a probabilistic graphical model that we call Bayesian hypergraphs. The space of directed acy...
Nov 20, 2018
Social and Information Networks
Machine Learning

Temporal Graph Offset Reconstruction: Towards Temporally Robust Gra...

Graphs are a commonly used construct for representing relationships between elements in complex high dimensional datasets. Many real-world phenomen...
Nov 20, 2018
By rander
Optimization and Control
Machine Learning

To conclude the work, we study the strength of the ideal formulations presented in Section 2 for individual ReLU neurons. We study the verification problem on image classification networks trained on the canonical MNIST digit dataset [LeCun:1998]....

Strong mixed-integer programming formulations for trained neural ...

We present an ideal mixed-integer programming (MIP) formulation for a rectified linear unit (ReLU) appearing in a trained neural network. Our formu...
Nov 20, 2018
Machine Learning
Methodology

Learning deep kernels for exponential family densities

The kernel exponential family is a rich class of distributions,which can be fit efficiently and with statistical guarantees by score matching. Bein...
Nov 20, 2018
By jruizd
Robotics

Near Real-Time Object Recognition for Pepper based on Deep Neural ...

The main goal of the paper is to provide Pepper with a near real-time object recognition system based on deep neural networks. The proposed system ...
Nov 20, 2018
Computer Vision

LGLG-WPCA: An Effective Texture-based Method for Face Recognition

This paper proposes an effective texture-based face feature extraction method which is based on Learning Gabor Log-Euclidean Gaussian, called LGLG-...
Nov 20, 2018
By psingh
Computer Vision

Multi-layer Pruning Framework for Compressing Single Shot MultiBox ...

We propose a framework for compressing state-of-the-art Single Shot MultiBox Detector (SSD). The framework addresses compression in the following s...
Nov 20, 2018
Machine Learning

Black-Box Autoregressive Density Estimation for State-Space Models

State-space models (SSMs) provide a flexible framework for modelling time-series data. Consequently, SSMs are ubiquitously applied in areas such as...
Nov 20, 2018
Computer Vision

Sensor Adaptation for Improved Semantic Segmentation of Overhead Im...

Semantic segmentation is a powerful method to facilitate visual scene understanding. Each pixel is assigned a label according to a pre-defined list...
Nov 20, 2018
By psingh
Computer Vision

Stability Based Filter Pruning for Accelerating Deep CNNs

Convolutional neural networks (CNN) have achieved impressive performance on the wide variety of tasks (classification, detection, etc.) across mult...
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