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May 22, 2016
Machine Learning
Statistics Theory

We have presented an efficient fully empirical proximity-based non parametric active learner. Our approach provides competitive error guarantees for general distributions, in a general metric space, while keeping label complexity significantly lower…

Active Nearest-Neighbor Learning in Metric Spaces

We propose a pool-based non-parametric active learning algorithm for general metric spaces, called MArgin Regularized Metric Active Nearest Neighbor …
Sep 10, 2018
Artificial Intelligence
Computation and Language

Explicit Utilization of General Knowledge in Machine Reading Compre…

To bridge the gap between Machine Reading Comprehension (MRC) models and human beings, which is mainly reflected in the hunger for data and the robus…
Mar 27, 2018
Computer Vision

Random Polyhedral Scenes: An Image Generator for Active Vision System…

We present a Polyhedral Scene Generator system which creates a random scene based on a few user parameters, renders the scene from random view points…
Feb 14, 2018
Machine Learning
Artificial Intelligence
Computer Vision

Challenging Images For Minds and Machines

There is no denying the tremendous leap in the performance of machine learning methods in the past half-decade. Some might even say that specific sub…
Apr 25, 2018
Neurons and Cognition
Information Theory
Tissues and Organs

Characterizing Information Propagation in Plants

This paper considers an electro-chemical based communication model for intercellular communication in plants. Many plants, such as Mimosa pudica (the…
Nov 08, 2018
Neurons and Cognition
Information Theory
Signal Processing

Communication and Information Theory of Single Action Potential Signa…

Many plants, such as Mimosa pudica (the sensitive plant), employ electrochemical signals known as action potentials (APs) for rapid intercellular com…
Mar 29, 2019
Computation and Language
Artificial Intelligence

A General FOFE-net Framework for Simple and Effective Question Answer…

Question answering over knowledge base (KB-QA) has recently become a popular research topic in NLP. One popular way to solve the KB-QA problem is to …
Jul 09, 2019
Computer Vision

Fast Visual Object Tracking using Ellipse Fitting for Rotated Boundin…

In this paper, we demonstrate a novel algorithm that uses ellipse fitting to estimate the bounding box rotation angle and size with the segmentation(…
Feb 03, 2020
Cryptography and Security
Computation and Language
Machine Learning

Twitter Bot Detection Using Bidirectional Long Short-term Memory Neur…

Twitter is a web application playing dual roles of online social networking and micro-blogging. The popularity and open structure of Twitter have att…
Jan 15, 2019
Computer Vision
Neurons and Cognition

Rapid Visual Categorization is not Guided by Early Salience-Based S…

The current dominant visual processing paradigm in both human and machine research is the feedforward, layered hierarchy of neural-like processing el…
Dec 02, 2020
Software Engineering
Artificial Intelligence

An Empirical Study on Release Engineering of Artificial Intelligence …

Due to the popularity of artificial intelligence (AI), more and more AI software products are developed. Because of the lack of specialized AI knowle…
May 30, 2018
Robotics
Computer Vision
Human-Computer Interaction

Autonomous Vehicles that Interact with Pedestrians:A Survey of Theory…

One of the major challenges that autonomous cars are facing today is driving in urban environments. To make it a reality, autonomous vehicles require…
Sep 10, 2018
Artificial Intelligence
Computation and Language

Explicit Utilization of General Knowledge in Machine Reading Compre…

To bridge the gap between Machine Reading Comprehension (MRC) models and human beings, which is mainly reflected in the hunger for data and the robus…
Oct 20, 2017
Computer Vision
Artificial Intelligence

Classification Driven Dynamic Image Enhancement

Convolutional neural networks rely on image texture and structure to serve as discriminative features to classify the image content. Image enhancemen…
Feb 23, 2019
Computation and Language
Machine Learning

Fixed-Size Ordinally Forgetting Encoding Based Word Sense Disambiguat…

In this paper, we present our method of using fixed-size ordinally forgetting encoding (FOFE) to solve the word sense disambiguation (WSD) problem. F…
Sep 10, 2018
Artificial Intelligence

Exploring Machine Reading Comprehension with Explicit Knowledge

To apply general knowledge to machine reading comprehension (MRC), we propose an innovative MRC approach, which consists of a WordNet-based data enri…
Aug 22, 2019
Computer Vision
Machine Learning
Image and Video Processing

Noise Flow: Noise Modeling with Conditional Normalizing Flows

Modeling and synthesizing image noise is an important aspect in many computer vision applications. The long-standing additive white Gaussian and hete…
Aug 29, 2019
Computer Vision

A Possible Reason for why Data-Driven Beats Theory-Driven Computer …

Why do some continue to wonder about the success and dominance of deep learning methods in computer vision and AI? Is it not enough that these method…
Mar 04, 2020
Computer Vision
Machine Learning
Image and Video Processing

MoVi: A Large Multipurpose Motion and Video Dataset

Human movements are both an area of intense study and the basis of many applications such as character animation. For many applications, it is crucia…
Oct 22, 2020
Computer Vision
Machine Learning

Learning Occupancy Function from Point Clouds for Surface Reconstruct…

Implicit function based surface reconstruction has been studied for a long time to recover 3D shapes from point clouds sampled from surfaces. Recentl…
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