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From Vision to NLP : A Merge
WORDNET: A Lexical Database For English
From Vision to NLP : A Merge
Ask Me Anything: Dynamic Memory Networks for Natural Language Processing
From Vision to NLP : A Merge
Towards a Visual Turing Challenge
A dual memory theory of the testing effect
Cue strength as a moderator of the testing effect: the benefits of elaborative retrieval.
A dual memory theory of the testing effect
SECTION ll 5 RETRIEVAL AS A MEMORY MODIFIER : AN INTERPRETATION OF NEGATIVE RECENCY AND RELATED PHENOMENA
A dual memory theory of the testing effect
on common ground : jost ' s ( 1897 ) law of forgetting and ribot ' s ( 1881 ) law of retrograde amnesia .
Similarity analysis of patients' data: Bangladesh perspective
Binary Codes Capable of Correcting Deletions, Insertions and Reversals
Similarity analysis of patients' data: Bangladesh perspective
Health data integration with Secured Record Linkage: A practical solution for Bangladesh and other developing countries
Optical-Flow based Self-Supervised Learning of Obstacle Appearance applied to MAV Landing
Free-Space Detection with Self-Supervised and Online Trained Fully Convolutional Networks
Optical-Flow based Self-Supervised Learning of Obstacle Appearance applied to MAV Landing
Semi-dense Visual Odometry for a Monocular Camera
Achieving air-ground communications in 802.11 networks with three-dimensional aerial mobility
An overview of emerging results in cooperative UAV control
Achieving air-ground communications in 802.11 networks with three-dimensional aerial mobility
the ad hoc uav ground network ( augnet ) .
Predicting Neural Activity Patterns Associated with Sentences Using a Neurobiologically Motivated Model of Semantic Representation
Multi- and Cross-Modal Semantics Beyond Vision: Grounding in Auditory Perception
Predicting Neural Activity Patterns Associated with Sentences Using a Neurobiologically Motivated Model of Semantic Representation
Distributed and overlapping representations of faces and objects in ventral temporal cortex
Predicting Neural Activity Patterns Associated with Sentences Using a Neurobiologically Motivated Model of Semantic Representation
Nouns are Vectors, Adjectives are Matrices: Representing Adjective-Noun Constructions in Semantic Space
Autopoiesis, free energy, and the life–mind continuity thesis
Life as we know it
Autopoiesis, free energy, and the life–mind continuity thesis
Action understanding and active inference
Biologically Plausible Multi-Dimensional Reinforcement Learning in Neural Networks
Simple statistical gradient-following algorithms for connectionist reinforcement learning
Biologically Plausible Multi-Dimensional Reinforcement Learning in Neural Networks
Dynamic Programming
Biologically Plausible Multi-Dimensional Reinforcement Learning in Neural Networks
All learning is Local: Multi-agent Learning in Global Reward Games
Biologically Plausible Multi-Dimensional Reinforcement Learning in Neural Networks
Learning internal representations by error propagation
PCB Embedded Bondwire Inductors With Discrete Thin-Film Magnetic Core for Power Supply in Package
FIVR — Fully integrated voltage regulators on 4th generation Intel® Core™ SoCs
PCB Embedded Bondwire Inductors With Discrete Thin-Film Magnetic Core for Power Supply in Package
Review of Integrated Magnetics for Power Supply on Chip (PwrSoC)
PCB Embedded Bondwire Inductors With Discrete Thin-Film Magnetic Core for Power Supply in Package
PCB integrated inductors for low power DC/DC converter
PCB Embedded Bondwire Inductors With Discrete Thin-Film Magnetic Core for Power Supply in Package
Multiobjective Optimization of Ultraflat Magnetic Components With PCB-Integrated Core
An OLAP Endpoint for RDF Data Analysis Using Analysis Graphs
Self-Service Business Intelligence
An OLAP Endpoint for RDF Data Analysis Using Analysis Graphs
RDF Analytics: Lenses over Semantic Graphs
Meta-Learning via Feature-Label Memory Network
Siamese Neural Networks for One-Shot Image Recognition
Meta-Learning via Feature-Label Memory Network
Meta-Learning with Memory-Augmented Neural Networks
Meta-Learning via Feature-Label Memory Network
One shot learning of simple visual concepts
Meta-Learning via Feature-Label Memory Network
Neural Turing Machines
Meta-Learning via Feature-Label Memory Network
Active One-shot Learning
Mixed Precision Training of Convolutional Neural Networks using Integer Operations
Mixed Precision Training
Mixed Precision Training of Convolutional Neural Networks using Integer Operations
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations
Mixed Precision Training of Convolutional Neural Networks using Integer Operations
Deep Residual Learning for Image Recognition
Mesh saliency
A case study on automatic camera placement and motion for visualizing historical data
Mesh saliency
Progressive meshes
multi - objective particle swarm optimization with time variant inertia and acceleration coefficients .
SPEA2: Improving the Strength Pareto Evolutionary Algorithm
Syntactic Contexts for Finding Semantically Related Words
Automatic Retrieval and Clustering of Similar Words
Returnn: The RWTH extensible training framework for universal recurrent neural networks
Cells in Multidimensional Recurrent Neural Networks
Returnn: The RWTH extensible training framework for universal recurrent neural networks
Comparative Study of Caffe, Neon, Theano, and Torch for Deep Learning
Returnn: The RWTH extensible training framework for universal recurrent neural networks
rasr - the rwth aachen university open source speech recognition toolkit .
Returnn: The RWTH extensible training framework for universal recurrent neural networks
Fast and Robust Training of Recurrent Neural Networks for Offline Handwriting Recognition
Returnn: The RWTH extensible training framework for universal recurrent neural networks
Gated Feedback Recurrent Neural Networks
Robust non-local fuzzy c-means algorithm with edge preservation for SAR image segmentation
A non-local algorithm for image denoising
Robust non-local fuzzy c-means algorithm with edge preservation for SAR image segmentation
A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data
Robust non-local fuzzy c-means algorithm with edge preservation for SAR image segmentation
A Modified FCM Algorithm for MRI Brain Image Segmentation
Brave New World: Uncovering Topical Dynamics in the ACL Anthology Reference Corpus Using Term Life Cycle Information
Tracing Research Paradigm Change Using Terminological Methods. A Case Study on "Machine Translation" in the ACL Anthology Reference Corpus
Brave New World: Uncovering Topical Dynamics in the ACL Anthology Reference Corpus Using Term Life Cycle Information
Forecasting Emerging Trends from Scientific Literature.
Generic Advice: On the Combination of AOP with Generative Programming in AspectC++
A metaobject protocol for C++
Generic Advice: On the Combination of AOP with Generative Programming in AspectC++
generative programming - methods , tools and applications .
attention models in graphs : a survey .
Watch Your Step: Learning Graph Embeddings Through Attention
attention models in graphs : a survey .
Graph Attention Networks
attention models in graphs : a survey .
Commonsense Knowledge Aware Conversation Generation with Graph Attention
Visibility Based Preconditioning for bundle adjustment
Iterative Methods for Sparse Linear Systems
Visibility Based Preconditioning for bundle adjustment
Multicore bundle adjustment
Visibility Based Preconditioning for bundle adjustment
Skeletal graphs for efficient structure from motion
Visibility Based Preconditioning for bundle adjustment
Benchmarking Optimization Software with Performance Profiles
Multi-factor authentication based on multimodal biometrics (MFA-MB) for Cloud Computing
Addressing cloud computing security issues
Multi-factor authentication based on multimodal biometrics (MFA-MB) for Cloud Computing
Secure biometric template generation for multi-factor authentication
a contingency approach to data governance .
Beyond accuracy: what data quality means to data consumers
a contingency approach to data governance .
A product perspective on total data quality management
Detecting Drinking Episodes in Young Adults Using Smartphone-based Sensors
Toss 'n' turn: smartphone as sleep and sleep quality detector
Detecting Drinking Episodes in Young Adults Using Smartphone-based Sensors
Mining large-scale smartphone data for personality studies
Goodness of tone (GOT) for non-native Mandarin tone recognition.
The Kaldi Speech Recognition Toolkit
Goodness of tone (GOT) for non-native Mandarin tone recognition.
Chinese Dialect Identification Using Tone Features Based on Pitch Flux
The sentient self
Changes in brain activity related to eating chocolate: From pleasure to aversion
The sentient self
the neural correlates of consciousness : an update .
Personalized Reliability Prediction of Web Services
Hybrid Recommender Systems: Survey and Experiments
Personalized Reliability Prediction of Web Services
Probabilistic memory-based collaborative filtering
Personalized Reliability Prediction of Web Services
WSRec: A Collaborative Filtering Based Web Service Recommender System
Personalized Reliability Prediction of Web Services
Early prediction of software component reliability
Illumination invariant face recognition based on improved Local Binary Pattern
A comparative study of texture measures with classification based on featured distributions
Illumination invariant face recognition based on improved Local Binary Pattern
discriminant analysis for recognition of human face images ( invited paper ) .
Illumination invariant face recognition based on improved Local Binary Pattern
Eigenfaces for Recognition
Success factors of online learning videos
The impact of online video lecture recordings and automated feedback on student performance
Success factors of online learning videos
Instructional video in e-learning: Assessing the impact of interactive video on learning effectiveness
Success factors of online learning videos
Defining Mobile Learning in the Higher Education Landscape
A survey of mobility models for ad hoc network research
A group mobility model for ad hoc wireless networks
A survey of mobility models for ad hoc network research
A new routing protocol for the reconfigurable wireless networks
Microring Weight Banks
Neuromorphic Silicon Neuron Circuits
Microring Weight Banks
A million spiking-neuron integrated circuit with a scalable communication network and interface
Multi-View Surveillance Video Summarization via Joint Embedding and Sparse Optimization
Local features are not lonely – Laplacian sparse coding for image classification
Multi-View Surveillance Video Summarization via Joint Embedding and Sparse Optimization
Towards Scalable Summarization of Consumer Videos Via Sparse Dictionary Selection
Multi-View Surveillance Video Summarization via Joint Embedding and Sparse Optimization
From Keyframes to Key Objects: Video Summarization by Representative Object Proposal Selection
Multi-View Surveillance Video Summarization via Joint Embedding and Sparse Optimization
Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering
Seven-point checklist of dermoscopy revisited
Dermoscopy of pigmented skin lesions: Results of a consensus meeting via the Internet
Event-Triggered State Observers for Sparse Sensor Noise/Attacks
Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
Event-Triggered State Observers for Sparse Sensor Noise/Attacks
An Introduction To Compressive Sampling
Event-Triggered State Observers for Sparse Sensor Noise/Attacks
Decoding by linear programming
Ethical Choice in Unforeseen Circumstances
Situation aware UAV mission route planning
Ethical Choice in Unforeseen Circumstances
Moral Decision Making in Autonomous Systems: Enforcement, Moral Emotions, Dignity, Trust, and Deception
Semi-Parametric Image Synthesis
Learning a Discriminative Model for the Perception of Realism in Composite Images
Semi-Parametric Image Synthesis
Spatial Transformer Networks
Semi-Parametric Image Synthesis
StackGAN: Text to Photo-Realistic Image Synthesis with Stacked Generative Adversarial Networks
Inferring and Executing Programs for Visual Reasoning
Making Neural Programming Architectures Generalize via Recursion
Inferring and Executing Programs for Visual Reasoning
Building Machines That Learn and Think Like People
Inferring and Executing Programs for Visual Reasoning
Hierarchical Question-Image Co-Attention for Visual Question Answering
Inferring and Executing Programs for Visual Reasoning
Learning to Compose Neural Networks for Question Answering
Inferring and Executing Programs for Visual Reasoning
A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input