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Jul 19, 2018
Statistics Theory
Machine Learning

The CH-divergence defined by (28) fulfills

Partial recovery bounds for clustering with the relaxed $K$means

We investigate the clustering performances of the relaxed $K$means in the setting of sub-Gaussian Mixture Model (sGMM) and Stochastic Block Model (...
Jul 19, 2018
Computer Vision

Capsule Networks against Medical Imaging Data Challenges

A key component to the success of deep learning is the availability of massive amounts of training data. Building and annotating large datasets for...
Jul 19, 2018
Computer Vision

Attention-Guided Curriculum Learning for Weakly Supervised Classi...

In this work, we exploit the task of joint classification and weakly supervised localization of thoracic diseases from chest radiographs, with only...
Jul 19, 2018
Machine Learning
Cryptography and Security

Emulating malware authors for proactive protection using GANs over ...

Malware authors have always been at an advantage of being able to adversarially test and augment the malicious code, before deploying their payload...
Jul 19, 2018
Robotics
Image and Video Processing

LIMO: Lidar-Monocular Visual Odometry

Higher level functionality in autonomous driving depends strongly on a precise motion estimate of the vehicle. Powerful algorithms have been develo...
Jul 19, 2018
Computer Vision

Bio-Measurements Estimation and Support in Knee Recovery through Ma...

Knee injuries are frequent, varied and often require the patient to undergo intensive rehabilitation for several months. Treatment protocols usuall...
Jul 19, 2018
Computation and Language
Cryptography and Security

Using Deep Neural Networks to Translate Multi-lingual Threat Inte...

The multilingual nature of the Internet increases complications in the cybersecurity community's ongoing efforts to strategically mine threat intel...
Jul 19, 2018
Probability
Mathematical Physics

An invariance principle for ergodic scale-free random environments

There are many classical random walk in random environment results that apply to ergodic random planar environments. We extend some of these result...
Jul 19, 2018
Computer Vision

Hybrid scene Compression for Visual Localization

Localizing an image wrt. a large scale 3D scene represents a core task for many computer vision applications. The increasing size of available 3D s...
Jul 19, 2018
By adhuran
Machine Learning

Improving Simple Models with Confidence Profiles

In this paper, we propose a new method called ProfWeight for transferring information from a pre-trained deep neural network that has a high test a...
Jul 19, 2018
Computer Vision

Three for one and one for three: Flow, Segmentation, and Surface No...

Optical flow, semantic segmentation, and surface normals represent different information modalities, yet together they bring better cues for scene ...
Jul 19, 2018
Computer Vision

Guided Upsampling Network for Real-Time Semantic Segmentation

Semantic segmentation architectures are mainly built upon an encoder-decoder structure. These models perform subsequent downsampling operations in ...
Jul 19, 2018
By mab.mtr
Computer Vision

Conditional Random Fields as Recurrent Neural Networks for 3D Medic...

The Conditional Random Field as a Recurrent Neural Network layer is a recently proposed algorithm meant to be placed on top of an existing Fully-Co...
Jul 19, 2018
Computer Vision

Can Artificial Intelligence Reliably Report Chest X-Rays?: Radiolog...

Background and Objectives: Chest x-rays are the most commonly performed, cost-effective diagnostic imaging tests ordered by physicians. A clinicall...
Jul 19, 2018
Computer Vision

Modeling Visual Context is Key to Augmenting Object Detection Datasets

Performing data augmentation for learning deep neural networks is well known to be important for training visual recognition systems. By artificial...
Jul 19, 2018
By nkhur1
Social and Information Networks
Cryptography and Security
Machine Learning

Preventing Poisoning Attacks on AI based Threat Intelligence Systems

As AI systems become more ubiquitous, securing them becomes an emerging challenge. Over the years, with the surge in online social media use and th...
Jul 19, 2018
Computer Vision

Image Reconstruction via Variational Network for Real-Time Hand-Hel...

Speed-of-sound is a biomechanical property for quantitative tissue differentiation, with great potential as a new ultrasound-based image modality. ...
Jul 19, 2018
Computer Vision

Test-time augmentation with uncertainty estimation for deep learn...

Data augmentation has been widely used for training deep learning systems for medical image segmentation and plays an important role in obtaining r...
Jul 19, 2018
Computers and Society
Computation and Language

Can We Assess Mental Health through Social Media and Smart Devices?...

Predicting mental health from smartphone and social media data on a longitudinal basis has recently attracted great interest, with very promising r...
Jul 19, 2018
Computer Vision

Generative Adversarial Networks for MR-CT Deformable Image Registra...

Deformable Image Registration (DIR) of MR and CT images is one of the most challenging registration task, due to the inherent structural difference...
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