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Jun 20, 2018
By bcburch
Computer Vision

Hybrid Bayesian Eigenobjects: Combining Linear Subspace and Deep Ne...

We introduce Hybrid Bayesian Eigenobjects (HBEOs), a novel representation for 3D objects designed to allow a robot to jointly estimate the pose, cl...
Jun 20, 2018
Machine Learning
Artificial Intelligence
Optimization and Control

RUDDER: Return Decomposition for Delayed Rewards

We propose a novel reinforcement learning approach for finite Markov decision processes (MDPs) with delayed rewards. In this work, biases of tempor...
Jun 20, 2018
By jm6214
Robotics
Artificial Intelligence
Machine Learning

Sim-to-Real Reinforcement Learning for Deformable Object Manipulation

We have seen much recent progress in rigid object manipulation, but interaction with deformable objects has notably lagged behind. Due to the large...
Jun 20, 2018
Machine Learning

Rethinking Machine Learning Development and Deployment for Edge Dev...

Machine learning (ML), especially deep learning is made possible by the availability of big data, enormous compute power and, often overlooked, dev...
Jun 20, 2018
Computer Vision

Hide and Seek tracker: Real-time recovery from target loss

In this paper, we examine the real-time recovery of a video tracker from a target loss, using information that is already available from the origin...
Jun 20, 2018
Distributed
Parallel
and Cluster Computing
Artificial Intelligence
Computer Vision
Multimedia
Networking and Internet Architecture

Edge Intelligence: On-Demand Deep Learning Model Co-Inference with ...

As the backbone technology of machine learning, deep neural networks (DNNs) have have quickly ascended to the spotlight. Running DNNs on resource-c...
Jun 20, 2018
Robotics

A Look at Motion Planning for Autonomous Vehicles at an Intersection

Autonomous vehicles are currently being tested in a variety of scenarios. As we move towards autonomous vehicles, How do Intersections need to look...
Jun 20, 2018
By pcyin
Computation and Language
Machine Learning

StructVAE: Tree-structured Latent Variable Models for Semi-supervis...

Semantic parsing is the task of transducing natural language (NL) utterances into formal meaning representations (MRs), commonly represented as tre...
Jun 20, 2018
Computer Vision
Machine Learning

Disentangling Multiple Conditional Inputs in GANs

In this paper, we propose a method that disentangles the effects of multiple input conditions in Generative Adversarial Networks (GANs). In particu...
Jun 20, 2018
Computer Vision

Metric-Driven Learning of Correspondence Weighting for 2-D/3-D Imag...

Registration for pre-operative 3-D images to intra-operative 2-D fluoroscopy images is important in minimally invasive procedures. Registration can...
Jun 20, 2018
Sound
Machine Learning
Audio and Speech Processing

Quaternion Convolutional Neural Networks for End-to-End Automatic S...

Recently, the connectionist temporal classification (CTC) model coupled with recurrent (RNN) or convolutional neural networks (CNN), made it easier...
Jun 20, 2018
Computation and Language

Opinion Dynamics Modeling for Movie Review Transcripts Classificati...

In this paper, the main goal is to detect a movie reviewer's opinion using hidden conditional random fields. This model allows us to capture the dy...
Jun 20, 2018
Computer Vision

Generative Adversarial Networks for Image-to-Image Translation on ...

In medical imaging, a general problem is that it is costly and time consuming to collect high quality data from healthy and diseased subjects. Gene...
Jun 20, 2018
Machine Learning
Computer Vision

Accurate and Diverse Sampling of Sequences based on a "Best of Many...

For autonomous agents to successfully operate in the real world, anticipation of future events and states of their environment is a key competence....
Jun 20, 2018
Computation and Language

Building a Knowledge Graph from Natural Language Definitions for ...

Natural language definitions of terms can serve as a rich source of knowledge, but structuring them into a comprehensible semantic model is essenti...
Jun 20, 2018
Computation and Language

Semantic Relation Classification: Task Formalisation and Refinement

The identification of semantic relations between terms within texts is a fundamental task in Natural Language Processing which can support applicat...
Jun 20, 2018
By omidvar
Computation and Language
Computers and Society
Information Retrieval

Using Neural Network for Identifying Clickbaits in Online News Media

Online news media sometimes use misleading headlines to lure users to open the news article. These catchy headlines that attract users but disappoi...
Jun 20, 2018
Computation and Language

Categorization of Semantic Roles for Dictionary Definitions

Understanding the semantic relationships between terms is a fundamental task in natural language processing applications. While structured resource...
Jun 20, 2018
Computation and Language

Word Tagging with Foundational Ontology Classes: Extending the Wo...

Semantic annotation is fundamental to deal with large-scale lexical information, mapping the information to an enumerable set of categories over wh...
Jun 20, 2018
By zkang
Machine Learning
Artificial Intelligence
Computer Vision

Self-weighted Multiple Kernel Learning for Graph-based Clustering a...

Multiple kernel learning (MKL) method is generally believed to perform better than single kernel method. However, some empirical studies show that ...
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