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Feb 24, 2019
Computer Vision

U-NetPlus: A Modified Encoder-Decoder U-Net Architecture for Semantic…

Conventional therapy approaches limit surgeons' dexterity control due to limited field-of-view. With the advent of robot-assisted surgery, there has …
Nov 15, 2018
Computer Vision
Artificial Intelligence
Machine Learning

Multivariate Time-series Similarity Assessment via Unsupervised Rep…

Timely prediction of clinically critical events in Intensive Care Unit (ICU) is important for improving care and survival rate. Most of the existing …
Oct 30, 2018
Computer Vision

TallyQA: Answering Complex Counting Questions

Most counting questions in visual question answering (VQA) datasets are simple and require no more than object detection. Here, we study algorithms f…
Nov 27, 2014

Detections of trans-Neptunian ice in protoplanetary disks

We present Herschel Space Observatory PACS spectra of T Tauri stars, in which we detect amorphous and crystalline water ice features. Using irradiate…
Mar 06, 2019
Machine Learning

Improving Generalization of Deep Networks for Inverse Reconstruction …

Deep learning networks have shown state-of-the-art performance in many image reconstruction problems. However, it is not well understood what propert…
Jul 10, 2019
Computer Vision

Fully Convolutional Networks for Handwriting Recognition

Handwritten text recognition is challenging because of the virtually infinite ways a human can write the same message. Our fully convolutional handwr…
Oct 05, 2011

Spectroastrometry of rotating gas disks for the detection of superm…

We measure the black hole mass in the nearby active galaxy Centaurus A (NGC 5128) using a new method based on spectroastrometry of a rotating gas dis…
Oct 31, 2017
Data Structures and Algorithms
Machine Learning

The Exact Solution to Rank-1 L1-norm TUCKER2 Decomposition

We study rank-1 {L1-norm-based TUCKER2} (L1-TUCKER2) decomposition of 3-way tensors, treated as a collection of $N$ $D \times M$ matrices that are to…
Jan 21, 2018
Computer Vision

EnKCF: Ensemble of Kernelized Correlation Filters for High-Speed Obje…

Computer vision technologies are very attractive for practical applications running on embedded systems. For such an application, it is desirable for…
Sep 16, 2018
Machine Learning
Artificial Intelligence

Memory Efficient Experience Replay for Streaming Learning

In supervised machine learning, an agent is typically trained once and then deployed. While this works well for static settings, robots often operate…
Sep 26, 2019
Neural and Evolutionary Computation

The Ant Swarm Neuro-Evolution Procedure for Optimizing Recurrent Ne…

Hand-crafting effective and efficient structures for recurrent neural networks (RNNs) is a difficult, expensive, and time-consuming process. To addre…
Dec 06, 2019
Computer Vision

Waterfall Atrous Spatial Pooling Architecture for Efficient Semantic …

We propose a new efficient architecture for semantic segmentation, based on a "Waterfall" Atrous Spatial Pooling architecture, that achieves a consid…
Dec 25, 2018
Computer Vision

Residual Dense Network for Image Restoration

Convolutional neural network has recently achieved great success for image restoration (IR) and also offered hierarchical features. However, most dee…
Nov 11, 2019
Cryptography and Security
Machine Learning

Collaborative Homomorphic Computation on Data Encrypted under Multipl…

Homomorphic encryption (HE) is a promising cryptographic technique for enabling secure collaborative machine learning in the cloud. However, support …
Apr 04, 2020
Computer Vision

Privacy-Preserving Eye Videos using Rubber Sheet Model

Video-based eye trackers estimate gaze based on eye images/videos. As security and privacy concerns loom over technological advancements, tackling su…
Dec 20, 2019
Computation and Language
Machine Learning
Applications

What do Asian Religions Have in Common? An Unsupervised Text Analytic…

The main source of various religious teachings is their sacred texts which vary from religion to religion based on different factors like the geograp…
Feb 26, 2020
Machine Learning

Reliable Estimation of Kullback-Leibler Divergence by Controlling D…

Several scalable methods to compute the Kullback Leibler (KL) divergence between two distributions using their samples have been proposed and applied…
Mar 01, 2017
Computer Science and Game Theory
Artificial Intelligence
Multiagent Systems

Investigating the Characteristics of One-Sided Matching Mechanisms Un…

One-sided matching mechanisms are fundamental for assigning a set of indivisible objects to a set of self-interested agents when monetary transfers a…
Oct 09, 2020
Cryptography and Security
Computer Vision
Machine Learning

Weaponizing Unicodes with Deep Learning -- Identifying Homoglyphs wit…

Visually similar characters, or homoglyphs, can be used to perform social engineering attacks or to evade spam and plagiarism detectors. It is thus i…
Jul 22, 2015
Information Retrieval

The Tangent Search Engine: Improved Similarity Metrics and Scalabilit…

With the ever-increasing quantity and variety of data worldwide, the Web has become a rich repository of mathematical formulae. This necessitates the…
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