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Self-Adaptive Matrix Completion for Heart Rate Estimation from Face Videos under Realistic Conditions | Exact Matrix Completion via Convex Optimization |
Self-Adaptive Matrix Completion for Heart Rate Estimation from Face Videos under Realistic Conditions | Recurrent Face Aging |
Self-Adaptive Matrix Completion for Heart Rate Estimation from Face Videos under Realistic Conditions | Advancements in Noncontact, Multiparameter Physiological Measurements Using a Webcam |
Self-Adaptive Matrix Completion for Heart Rate Estimation from Face Videos under Realistic Conditions | Pose-Invariant 3D Face Alignment |
Learning 3D Geological Structure from Drill-Rig Sensors for Automated Mining | Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data |
Learning 3D Geological Structure from Drill-Rig Sensors for Automated Mining | Probabilistic Graphical Models: Principles and Techniques |
Learning 3D Geological Structure from Drill-Rig Sensors for Automated Mining | A systematic analysis of performance measures for classification tasks |
Learning 3D Geological Structure from Drill-Rig Sensors for Automated Mining | 1 An Introduction to Conditional Random Fields for Relational Learning |
Small-size circular polarized patch antenna | Small circularly polarized patch antenna |
Small-size circular polarized patch antenna | modern antenna handbook [ reviews and abstracts ] . |
Small-size circular polarized patch antenna | Dual-Band Circularly Polarized Cavity-Backed Annular Slot Antenna for GPS Receiver |
An intelligent chaotic embedding approach to enhance stego-image quality | A DWT Based Approach for Image Steganography |
An intelligent chaotic embedding approach to enhance stego-image quality | information hiding - a survey . |
CONNECTING IMAGES AND NATURAL LANGUAGE A DISSERTATION SUBMITTED TO THE DEPARTMENT OF COMPUTER SCIENCE AND THE COMMITTEE ON GRADUATE STUDIES OF STANFORD UNIVERSITY IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY | Distributed Representations of Words and Phrases and their Compositionality |
CONNECTING IMAGES AND NATURAL LANGUAGE A DISSERTATION SUBMITTED TO THE DEPARTMENT OF COMPUTER SCIENCE AND THE COMMITTEE ON GRADUATE STUDIES OF STANFORD UNIVERSITY IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY | A Joint Model of Language and Perception for Grounded Attribute Learning |
CONNECTING IMAGES AND NATURAL LANGUAGE A DISSERTATION SUBMITTED TO THE DEPARTMENT OF COMPUTER SCIENCE AND THE COMMITTEE ON GRADUATE STUDIES OF STANFORD UNIVERSITY IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY | Show, Attend and Tell: Neural Image Caption Generation with Visual Attention |
CONNECTING IMAGES AND NATURAL LANGUAGE A DISSERTATION SUBMITTED TO THE DEPARTMENT OF COMPUTER SCIENCE AND THE COMMITTEE ON GRADUATE STUDIES OF STANFORD UNIVERSITY IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY | RECURRENTNEURAL NETWORK REGULARIZATION |
Localization in Wireless Sensor Networks: A Survey on Algorithms, Measurement Techniques, Applications and Challenges | Comparative Survey of Indoor Positioning Technologies, Techniques, and Algorithms |
A novel interval type-2 fractional order fuzzy PID controller: Design, performance evaluation, and its optimal time domain tuning. | AN IDEA BASED ON HONEY BEE SWARM FOR NUMERICAL OPTIMIZATION |
A novel interval type-2 fractional order fuzzy PID controller: Design, performance evaluation, and its optimal time domain tuning. | A fractional order fuzzy PID controller for binary distillation column control |
A novel interval type-2 fractional order fuzzy PID controller: Design, performance evaluation, and its optimal time domain tuning. | differential evolution - a simple and efficient heuristic for global optimization over continuous spaces . |
A novel interval type-2 fractional order fuzzy PID controller: Design, performance evaluation, and its optimal time domain tuning. | 0 fractional derivatives , fractional integrals , and fractional differential equations in matlab . |
Comparative Study of Features Fusion Techniques | High confidence visual recognition of persons by a test of statistical independence |
Coordinated Control of the Energy Router-Based Smart Home Energy Management System | making microgrids work . |
Coordinated Control of the Energy Router-Based Smart Home Energy Management System | Rule-Based Control of Battery Energy Storage for Dispatching Intermittent Renewable Sources |
Coordinated Control of the Energy Router-Based Smart Home Energy Management System | A Multiagent Modeling and Investigation of Smart Homes With Power Generation, Storage, and Trading Features |
Adaptive Learning Hybrid Model for Solar Intensity Forecasting | Smart Grid — The New and Improved Power Grid: A Survey |
Adaptive Learning Hybrid Model for Solar Intensity Forecasting | Deep Learning for solar power forecasting — An approach using AutoEncoder and LSTM Neural Networks |
Adaptive Learning Hybrid Model for Solar Intensity Forecasting | smoothing noisy data with spline functions * . |
a fast , invariant representation for human action in the visual system . | Visual perception of biological motion and a model for its analysis |
a fast , invariant representation for human action in the visual system . | Visual Object Recognition |
a fast , invariant representation for human action in the visual system . | Slow Feature Analysis: Unsupervised Learning of Invariances |
Aerial Mapping of Forests Affected by Pathogens Using UAVs, Hyperspectral Sensors, and Artificial Intelligence | Enabling UAV Navigation with Sensor and Environmental Uncertainty in Cluttered and GPS-Denied Environments |
Aerial Mapping of Forests Affected by Pathogens Using UAVs, Hyperspectral Sensors, and Artificial Intelligence | Early Detection and Quantification of Verticillium Wilt in Olive Using Hyperspectral and Thermal Imagery over Large Areas |
Semantic Emotion-Topic Model Based Social Emotion Mining | Lexicon-Based Methods for Sentiment Analysis |
Semantic Emotion-Topic Model Based Social Emotion Mining | Joint Emotion-Topic Modeling for Social Affective Text Mining |
Semantic Emotion-Topic Model Based Social Emotion Mining | Sentiment Analysis and Opinion Mining: A Survey |
Improving the Performance of K-Means for Color Quantization | K-Means-Type Algorithms: A Generalized Convergence Theorem and Characterization of Local Optimality |
Improving the Performance of K-Means for Color Quantization | Color quantization using the fast K-means algorithm |
Improving the Performance of K-Means for Color Quantization | clustering to minimize the maximum intercluster distance . |
Matrix and Tensor Factorization Techniques for Recommender Systems | Scalable Tensor Decompositions for Multi-aspect Data Mining |
Matrix and Tensor Factorization Techniques for Recommender Systems | Context-Aware Ranking with Factorization Models |
Matrix and Tensor Factorization Techniques for Recommender Systems | Non-negative tensor factorization with applications to statistics and computer vision |
Group saliency propagation for large scale and quick image co-segmentation | Global contrast based salient region detection |
Group saliency propagation for large scale and quick image co-segmentation | Automatic image co-segmentation using geometric mean saliency |
Group saliency propagation for large scale and quick image co-segmentation | Segmentation propagation in imagenet |
A framework of extracting multi-scale features using multiple convolutional neural networks | Multi-scale Orderless Pooling of Deep Convolutional Activation Features |
A framework of extracting multi-scale features using multiple convolutional neural networks | DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition |
A framework of extracting multi-scale features using multiple convolutional neural networks | Painting-91: a large scale database for computational painting categorization |
A framework of extracting multi-scale features using multiple convolutional neural networks | RAPID: Rating Pictorial Aesthetics using Deep Learning |
A framework of extracting multi-scale features using multiple convolutional neural networks | LIBSVM: A library for support vector machines |
How Usable Are the Learning Management Systems? The Users Have their Say | Developing a Usability Evaluation Method for e-Learning Applications: Beyond Functional Usability |
How Usable Are the Learning Management Systems? The Users Have their Say | else methodology : a systematic approach to the e - learning systems evaluation . |
Novel Planar Compact Coupled-Line Single-Ended-to-Balanced Power Divider | A Compact Gysel Power Divider With Unequal Power-Dividing Ratio Using One Resistor |
Novel Planar Compact Coupled-Line Single-Ended-to-Balanced Power Divider | A Balanced-to-Balanced Power Divider With Arbitrary Power Division |
Novel Planar Compact Coupled-Line Single-Ended-to-Balanced Power Divider | An Analytical Approach for a Novel Coupled-Line Dual-Band Wilkinson Power Divider |
Microplastic pollution in China's inland water systems: A review of findings, methods, characteristics, effects, and management. | Microplastics as contaminants in the marine environment: A review |
Understanding what concerns consumers: a semantic approach to product feature extraction from consumer reviews | Using Online Conversations to Study Word-of-Mouth Communication |
Understanding what concerns consumers: a semantic approach to product feature extraction from consumer reviews | Sentiment Classification of Movie Reviews Using Contextual Valence Shifters |
Understanding what concerns consumers: a semantic approach to product feature extraction from consumer reviews | examining the relationship between reviews and sales : the role of reviewer identity disclosure in electronic markets . |
Understanding what concerns consumers: a semantic approach to product feature extraction from consumer reviews | Mining the peanut gallery: opinion extraction and semantic classification of product reviews |
Beamforming for Magnetic Induction Based Wireless Power Transfer Systems with Multiple Receivers | Magnetic Induction Communications for Wireless Underground Sensor Networks |
Beamforming for Magnetic Induction Based Wireless Power Transfer Systems with Multiple Receivers | Throughput of the Magnetic Induction Based Wireless Underground Sensor Networks: Key Optimization Techniques |
Rogue-Access-Point Detection: Challenges, Solutions, and Future Directions | Passive online rogue access point detection using sequential hypothesis testing with TCP ACK-pairs |
Rogue-Access-Point Detection: Challenges, Solutions, and Future Directions | Rogue access point detection using temporal traffic characteristics |
Rogue-Access-Point Detection: Challenges, Solutions, and Future Directions | A Hybrid Rogue Access Point Protection Framework for Commodity Wi-Fi Networks |
Model driven validation approach for enterprise architecture and motivation extensions | A design theory for systems that support emergent knowledge processes |
Model driven validation approach for enterprise architecture and motivation extensions | transforming the balanced scorecard from performance measurement to strategic management : part i . |
Model driven validation approach for enterprise architecture and motivation extensions | Goals in Enterprise Architecture Management -- Findings from Literature and Future Research Directions |
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning | Weight Uncertainty in Neural Networks |
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning | Variational Bayesian Inference with Stochastic Search |
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning | Caffe: Convolutional Architecture for Fast Feature Embedding |
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning | Algorithms for Reinforcement Learning |
Advances in dissimilarity-based data visualisation | HOW TO MAKE LARGE SELFORGANIZING MAPS FOR NONVECTORIAL DATA |
Advances in dissimilarity-based data visualisation | Building Change Detection Based on Satellite Stereo Imagery and Digital Surface Models |
Advances in dissimilarity-based data visualisation | Generalized Discriminant Analysis Using a Kernel Approach |
Exploring Nearest Neighbor Approaches for Image Captioning | Deep visual-semantic alignments for generating image descriptions |
Exploring Nearest Neighbor Approaches for Image Captioning | Every picture tells a story: generating sentences from images |
Exploring Nearest Neighbor Approaches for Image Captioning | The IAPR TC-12 benchmark -- a new evaluation resource for visual information systems |
Exploring Nearest Neighbor Approaches for Image Captioning | Show and tell: A neural image caption generator |
SimpleQuestions Nearly Solved: A New Upperbound and Baseline Approach | Strong Baselines for Simple Question Answering over Knowledge Graphs with and without Neural Networks |
SimpleQuestions Nearly Solved: A New Upperbound and Baseline Approach | Glove: Global Vectors for Word Representation |
SimpleQuestions Nearly Solved: A New Upperbound and Baseline Approach | On the Convergence of Adam and Beyond |
SimpleQuestions Nearly Solved: A New Upperbound and Baseline Approach | Adam: A Method for Stochastic Optimization |
SimpleQuestions Nearly Solved: A New Upperbound and Baseline Approach | no need to pay attention : simple recurrent neural networks work ! . |
Hierarchical Attention Networks for Knowledge Base Completion via Joint Adversarial Training | Open question answering over curated and extracted knowledge bases |
Hierarchical Attention Networks for Knowledge Base Completion via Joint Adversarial Training | PCA versus LDA |
Hierarchical Attention Networks for Knowledge Base Completion via Joint Adversarial Training | Stacked denoising autoencoders: learning useful representations in a deep network with a local denoising criterion |
Hierarchical Attention Networks for Knowledge Base Completion via Joint Adversarial Training | Translating Embeddings for Modeling Multi-relational Data |
Hierarchical Attention Networks for Knowledge Base Completion via Joint Adversarial Training | Learning entity and relation embeddings for knowledge graph completion |
Automated generation of diverse and challenging scenarios for test and evaluation of autonomous vehicles | Mean shift: A robust approach toward feature space analysis |
Automated generation of diverse and challenging scenarios for test and evaluation of autonomous vehicles | Development environments for autonomous mobile robots: A survey |
Automated generation of diverse and challenging scenarios for test and evaluation of autonomous vehicles | a surrogate modeling and adaptive sampling toolbox for computer based design . |
Sparse Compositional Local Metric Learning | Neighbourhood Components Analysis |
Sparse Compositional Local Metric Learning | Sparse Compositional Metric Learning |
Sparse Compositional Local Metric Learning | Low-rank similarity metric learning in high dimensions |
Learning to Localize Using a LiDAR Intensity Map | Visual localization within LIDAR maps for automated urban driving |
Learning to Localize Using a LiDAR Intensity Map | The Graph SLAM Algorithm with Applications to Large-Scale Mapping of Urban Structures |
Learning to Localize Using a LiDAR Intensity Map | FAB-MAP: Probabilistic Localization and Mapping in the Space of Appearance |
Learning to Localize Using a LiDAR Intensity Map | learning to compare image patches via convolutional neural networks . |