andersonbcdefg/st_specter_train_triples huggingface dataset:
Paper: Maximum-Margin Structured Learning with Deep Networks for 3D Human Pose Estimation
Related paper: MODEC: Multimodal Decomposable Models for Human Pose Estimation
Unrelated paper: Articulated body motion capture by annealed particle filtering
Paper: Maximum-Margin Structured Learning with Deep Networks for 3D Human Pose Estimation
Related paper: Probabilistic Graphical Models: Principles and Techniques
Unrelated paper: forecasting real estate prices ∗ .
Paper: Maximum-Margin Structured Learning with Deep Networks for 3D Human Pose Estimation
Related paper: MODEC: Multimodal Decomposable Models for Human Pose Estimation
Unrelated paper: Flow Energy Harvesting Using Piezoelectric Cantilevers With Cylindrical Extension
Paper: Maximum-Margin Structured Learning with Deep Networks for 3D Human Pose Estimation
Related paper: MODEC: Multimodal Decomposable Models for Human Pose Estimation
Unrelated paper: Prediction of Financial Performance Using Genetic Algorithm and Associative Rule Mining
Paper: Maximum-Margin Structured Learning with Deep Networks for 3D Human Pose Estimation
Related paper: Label embedding for text recognition
Unrelated paper: Basic Religious Beliefs and Personality Traits
Paper: Analysis of sum-product decoding of low-density parity-check codes using a Gaussian approximation
Related paper: Correctness of Belief Propagation in Gaussian Graphical Models of Arbitrary Topology
Unrelated paper: near shannon limit error correcting coding and decoding : turbo - codes .
Paper: Analysis of sum-product decoding of low-density parity-check codes using a Gaussian approximation
Related paper: Iterative decoding of binary block and convolutional codes
Unrelated paper: User-oriented document summarization through vision-based eye-tracking
Paper: Analysis of sum-product decoding of low-density parity-check codes using a Gaussian approximation
Related paper: Correctness of Belief Propagation in Gaussian Graphical Models of Arbitrary Topology
Unrelated paper: Chapter 2 Rigid Body Registration
Paper: Analysis of sum-product decoding of low-density parity-check codes using a Gaussian approximation
Related paper: Iterative decoding of binary block and convolutional codes
Unrelated paper: Evolutionary biology and feminism
Paper: Analysis of sum-product decoding of low-density parity-check codes using a Gaussian approximation
Related paper: Iterative decoding of binary block and convolutional codes
Unrelated paper: The brain in infantile autism Posterior fossa structures are abnormal
Paper: Mining significant graph patterns by leap search
Related paper: Frequent subgraph discovery
Unrelated paper: PrefixSpan,: mining sequential patterns efficiently by prefix-projected pattern growth
Paper: Mining significant graph patterns by leap search
Related paper: gSpan: graph-based substructure pattern mining
Unrelated paper: Novel Printed MIMO Antenna With Pattern and Polarization Diversity
Paper: Mining significant graph patterns by leap search
Related paper: Efficient Mining of Emerging Patterns: Discovering Trends and Differences
Unrelated paper: Generic Inverted Index on the GPU
Paper: Mining significant graph patterns by leap search
Related paper: Frequent subgraph discovery
Unrelated paper: feature selection and improving classification performance for malware detection .
Paper: Mining significant graph patterns by leap search
Related paper: Efficient Mining of Emerging Patterns: Discovering Trends and Differences
Unrelated paper: Empirical Observations on Software Testing Automation
Paper: The Power of Optimization from Samples
Related paper: Cost-effective outbreak detection in networks
Unrelated paper: A note on maximizing a submodular set function subject to a knapsack constraint
Paper: The Power of Optimization from Samples
Related paper: Cost-effective outbreak detection in networks
Unrelated paper: Evaluating Intervention Programs with a Pretest-Posttest Design: A Structural Equation Modeling Approach
Paper: The Power of Optimization from Samples
Related paper: Curvature and Optimal Algorithms for Learning and Minimizing Submodular Functions
Unrelated paper: A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering
Paper: The Power of Optimization from Samples
Related paper: Cost-effective outbreak detection in networks
Unrelated paper: Event-based Camera Pose Tracking using a Generative Event Model
Paper: The Power of Optimization from Samples
Related paper: A theory of the learnable
Unrelated paper: Graphene/metal oxide composite electrode materials for energy storage
Paper: Deep Sparse Subspace Clustering
Related paper: Deep Subspace Clustering Networks
Unrelated paper: Relaxed pairwise learned metric for person re-identification
Paper: Deep Sparse Subspace Clustering
Related paper: Constructing the L2-Graph for Robust Subspace Learning and Subspace Clustering
Unrelated paper: High density culture of the freshwater rotifer, Brachionus calyciflorus
Paper: Deep Sparse Subspace Clustering
Related paper: Rectified Linear Units Improve Restricted Boltzmann Machines
Unrelated paper: automatic genre classification of music content : a survey .
Paper: Deep Sparse Subspace Clustering
Related paper: Deep Metric Learning for Person Re-identification
Unrelated paper: Predicting Decision in Human-Agent Negotiation using functional MRI.
Paper: Deep Sparse Subspace Clustering
Related paper: Neural Networks: Tricks of the Trade
Unrelated paper: Designing Location-Based Games
Paper: Combining regression and classification methods for improving automatic speaker age recognition
Related paper: LIBSVM: A library for support vector machines
Unrelated paper: fast training of support vector machines using sequential minimal optimization , advances in kernel methods .
Paper: Combining regression and classification methods for improving automatic speaker age recognition
Related paper: A tutorial on support vector regression
Unrelated paper: Learning to Generate Time-Lapse Videos Using Multi-stage Dynamic Generative Adversarial Networks
Paper: Combining regression and classification methods for improving automatic speaker age recognition
Related paper: LIBSVM: A library for support vector machines
Unrelated paper: Statistical transformer networks: learning shape and appearance models via self supervision
Paper: Combining regression and classification methods for improving automatic speaker age recognition
Related paper: A tutorial on support vector regression
Unrelated paper: an integrative model of organizational .
Paper: Combining regression and classification methods for improving automatic speaker age recognition
Related paper: LIBSVM: A library for support vector machines
Unrelated paper: The effects of a serine protease, Alcalase, on the adhesives of barnacle cyprids (Balanus amphitrite).
Paper: Techniques for Smart Traffic Control: An In-depth Review
Related paper: IDUTC: an intelligent decision-making system for urban traffic-control applications
Unrelated paper: A Fuzzy Logic Controller for a Trafc Junction
Paper: Techniques for Smart Traffic Control: An In-depth Review
Related paper: Neural Networks for Real-Time Traffic Signal Control
Unrelated paper: Addressing data veracity in big data applications
Paper: Techniques for Smart Traffic Control: An In-depth Review
Related paper: IDUTC: an intelligent decision-making system for urban traffic-control applications
Unrelated paper: Data Classification using Support Vector Machines
Paper: Techniques for Smart Traffic Control: An In-depth Review
Related paper: Neural Networks for Real-Time Traffic Signal Control
Unrelated paper: A novel learning-based frame pooling method for event detection
Paper: Techniques for Smart Traffic Control: An In-depth Review
Related paper: IDUTC: an intelligent decision-making system for urban traffic-control applications
Unrelated paper: Using Task-Induced Pupil Diameter and Blink Rate to Infer Cognitive Load
Paper: The internet of things in agriculture for sustainable rural development
Related paper: time flies when you ' re having fun : cognitive absorption and beliefs about information technology usage .
Unrelated paper: Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior
Paper: The internet of things in agriculture for sustainable rural development
Related paper: Real Time Systems Design Principles For Distributed Embedded Applications
Unrelated paper: Tracking an LED array transmitter for visible light communications in the driving situation
Paper: The internet of things in agriculture for sustainable rural development
Related paper: Real Time Systems Design Principles For Distributed Embedded Applications
Unrelated paper: Zero-Inflated Generalized Poisson Regression Model with an Application to Domestic Violence Data
Paper: The internet of things in agriculture for sustainable rural development
Related paper: Real Time Systems Design Principles For Distributed Embedded Applications
Unrelated paper: Interactively shaping agents via human reinforcement: the TAMER framework
Paper: The internet of things in agriculture for sustainable rural development
Related paper: time flies when you ' re having fun : cognitive absorption and beliefs about information technology usage .
Unrelated paper: Cofabrication of Vacuum Field Emission Transistor (VFET) and MOSFET
Paper: A Generalized Approach to the Solution of One-Dimensional Stock-Cutting Problem for Small Shipyards
Related paper: a typology of cutting and packing problems .
Unrelated paper: Computers And Intractability A Guide To The Theory Of Np Completeness
Paper: A Generalized Approach to the Solution of One-Dimensional Stock-Cutting Problem for Small Shipyards
Related paper: a typology of cutting and packing problems .
Unrelated paper: Population regulation, emergent properties, and a requiem for density dependence
Paper: A Generalized Approach to the Solution of One-Dimensional Stock-Cutting Problem for Small Shipyards
Related paper: a typology of cutting and packing problems .
Unrelated paper: Emotional intelligence: Five pieces to the puzzle.
Paper: A Generalized Approach to the Solution of One-Dimensional Stock-Cutting Problem for Small Shipyards
Related paper: A Linear Programming Approach to the Cutting-Stock Problem
Unrelated paper: Fetal cerebellar disorders.
Paper: A Generalized Approach to the Solution of One-Dimensional Stock-Cutting Problem for Small Shipyards
Related paper: Genetic Algorithms for Cutting Stock Problems: with and without Contiguity
Unrelated paper: Securing configuration management and migration of virtual network functions using blockchain
Paper: Big data Analytics in the Education Sector: Needs, Opportunities and Challenges
Related paper: Translating Learning into Numbers: A Generic Framework for Learning Analytics
Unrelated paper: Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
Paper: Big data Analytics in the Education Sector: Needs, Opportunities and Challenges
Related paper: A reference model for learning analytics
Unrelated paper: Review on SAW RFID tags
Paper: Big data Analytics in the Education Sector: Needs, Opportunities and Challenges
Related paper: Translating Learning into Numbers: A Generic Framework for Learning Analytics
Unrelated paper: Effect of expertise on 3D force application during the starting block phase and subsequent steps in sprint running.
Paper: Big data Analytics in the Education Sector: Needs, Opportunities and Challenges
Related paper: Translating Learning into Numbers: A Generic Framework for Learning Analytics
Unrelated paper: Critical success factors (CSFs) for information technology governance (ITG)
Paper: Big data Analytics in the Education Sector: Needs, Opportunities and Challenges
Related paper: Translating Learning into Numbers: A Generic Framework for Learning Analytics
Unrelated paper: Clinical utility of circulating non-coding RNAs — an update
Paper: Feedforward technique for offset cancellation in broadband differential amplifiers
Related paper: - gb / s limiting amplifier and laser / modulator driver in 0 . 18 - m cmos technology .
Unrelated paper: Broadband ESD protection circuits in CMOS technology
Paper: Feedforward technique for offset cancellation in broadband differential amplifiers
Related paper: - gb / s limiting amplifier and laser / modulator driver in 0 . 18 - m cmos technology .
Unrelated paper: The life and times of a zookeeper
Paper: Feedforward technique for offset cancellation in broadband differential amplifiers
Related paper: - gb / s limiting amplifier and laser / modulator driver in 0 . 18 - m cmos technology .
Unrelated paper: Intelligent Traffic Signal Control System Using Embedded System
Paper: Feedforward technique for offset cancellation in broadband differential amplifiers
Related paper: - gb / s limiting amplifier and laser / modulator driver in 0 . 18 - m cmos technology .
Unrelated paper: Experiencing SAX: a novel symbolic representation of time series
Paper: Feedforward technique for offset cancellation in broadband differential amplifiers
Related paper: - gb / s limiting amplifier and laser / modulator driver in 0 . 18 - m cmos technology .
Unrelated paper: Glycine Transporter I Inhibitor, N-methylglycine (Sarcosine), Added to Clozapine for the Treatment of Schizophrenia
Paper: Action unit selective feature maps in deep networks for facial expression recognition
Related paper: The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression
Unrelated paper: Classifying Facial Actions
Paper: Action unit selective feature maps in deep networks for facial expression recognition
Related paper: Caffe: Convolutional Architecture for Fast Feature Embedding
Unrelated paper: Automated Classification of Stance in Student Essays: An Approach Using Stance Target Information and the Wikipedia Link-Based Measure
Paper: Action unit selective feature maps in deep networks for facial expression recognition
Related paper: Imagenet classification with deep convolutional neural networks
Unrelated paper: Application Integration on the User Interface Level: an Ontology-Based Approach
Paper: Action unit selective feature maps in deep networks for facial expression recognition
Related paper: Imagenet classification with deep convolutional neural networks
Unrelated paper: Torsion as a contributing cause of the anti-elevation syndrome.
Paper: Action unit selective feature maps in deep networks for facial expression recognition
Related paper: Caffe: Convolutional Architecture for Fast Feature Embedding
Unrelated paper: mfcc and its applications in speaker recognition .
Paper: Semantic sentiment analysis of twitter
Related paper: Efficient convolution kernels for dependency and constituent syntactic trees
Unrelated paper: Summarizing Microblogs Automatically
Paper: Semantic sentiment analysis of twitter
Related paper: Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments
Unrelated paper: Signals in social supernets
Paper: Semantic sentiment analysis of twitter
Related paper: Twitter Sentiment Analysis: The Good the Bad and the OMG!
Unrelated paper: Comfort as a basic need in hospitalized patients in Iran: a hermeneutic phenomenology study.
Paper: Semantic sentiment analysis of twitter
Related paper: Tweet the debates: understanding community annotation of uncollected sources
Unrelated paper: Orbital involvement in cherubism.
Paper: Semantic sentiment analysis of twitter
Related paper: From bias to opinion: a transfer-learning approach to real-time sentiment analysis
Unrelated paper: IDK Cascades: Fast Deep Learning by Learning not to Overthink
Paper: Adversarial Dropout for Supervised and Semi-supervised Learning
Related paper: Identity Mappings in Deep Residual Networks
Unrelated paper: Dropout Training as Adaptive Regularization
Paper: Adversarial Dropout for Supervised and Semi-supervised Learning
Related paper: Reading Digits in Natural Images with Unsupervised Feature Learning
Unrelated paper: Thermal and Electrical Characteristics of EV Traction Motor Considering AC Resistance of MSO Coil
Paper: Adversarial Dropout for Supervised and Semi-supervised Learning
Related paper: Identity Mappings in Deep Residual Networks
Unrelated paper: Permanent-magnet, direct-drive, starter/alternator machine with weakened flux linkage for constant-power operation over extremely wide speed range
Paper: Adversarial Dropout for Supervised and Semi-supervised Learning
Related paper: Training with Noise is Equivalent to Tikhonov Regularization
Unrelated paper: A Reinforcement Learning Approach to Job-shop Scheduling
Paper: Adversarial Dropout for Supervised and Semi-supervised Learning
Related paper: Improving neural networks by preventing co-adaptation of feature detectors
Unrelated paper: Oral lesions in infection with human immunodeficiency virus.
Paper: Matrix Completion-Based Channel Estimation for MmWave Communication Systems With Array-Inherent Impairments
Related paper: Low-rank matrix completion using alternating minimization
Unrelated paper: Low complexity precoding for large millimeter wave MIMO systems
Paper: Matrix Completion-Based Channel Estimation for MmWave Communication Systems With Array-Inherent Impairments
Related paper: Low-rank matrix completion using alternating minimization
Unrelated paper: an empirical study of java dynamic call graph extractors .
Paper: Matrix Completion-Based Channel Estimation for MmWave Communication Systems With Array-Inherent Impairments
Related paper: Low-rank matrix completion using alternating minimization
Unrelated paper: an approach based on improved genetic algorithm to selecting the threshold automatically in edge detection and its application in computer vision system .
Paper: Matrix Completion-Based Channel Estimation for MmWave Communication Systems With Array-Inherent Impairments
Related paper: Guaranteed Rank Minimization via Singular Value Projection
Unrelated paper: Lead Phytochemicals for Anticancer Drug Development
Paper: Matrix Completion-Based Channel Estimation for MmWave Communication Systems With Array-Inherent Impairments
Related paper: Low-rank matrix completion using alternating minimization
Unrelated paper: Adaptive Temporal Encoding Network for Video Instance-level Human Parsing
Paper: A Comparison of Stream-Oriented High-Availability Algorithms
Related paper: Models and issues in data stream systems
Unrelated paper: Efficient Filtering of XML Documents for Selective Dissemination of Information
Paper: A Comparison of Stream-Oriented High-Availability Algorithms
Related paper: Models and issues in data stream systems
Unrelated paper: Awareness 2.0: staying aware of projects, developers and tasks using dashboards and feeds
Paper: A Comparison of Stream-Oriented High-Availability Algorithms
Related paper: Models and issues in data stream systems
Unrelated paper: Artificial Intelligence : Potential Benefits and Ethical Considerations
Paper: A Comparison of Stream-Oriented High-Availability Algorithms
Related paper: NiagaraCQ: a scalable continuous query system for Internet databases
Unrelated paper: The Garden of Chances: A Visual Ecosystem
Paper: A Comparison of Stream-Oriented High-Availability Algorithms
Related paper: Models and issues in data stream systems
Unrelated paper: Are "non-functional" requirements really non-functional?: an investigation of non-functional requirements in practice
Paper: A Novel Term Weighting Scheme Model
Related paper: Turning from TF-IDF to TF-IGM for term weighting in text classification
Unrelated paper: Online supervised spam filter evaluation
Paper: A Novel Term Weighting Scheme Model
Related paper: Supervised and Traditional Term Weighting Methods for Automatic Text Categorization
Unrelated paper: Using Hidden Semi-Markov Models for Effective Online Failure Prediction
Paper: A Novel Term Weighting Scheme Model
Related paper: Supervised Term Weighting for Automated Text Categorization
Unrelated paper: Fingerprinting based localisation revisited: A rigorous approach for comparing RSSI measurements coping with missed access points and differing antenna attenuations
Paper: A Novel Term Weighting Scheme Model
Related paper: Turning from TF-IDF to TF-IGM for term weighting in text classification
Unrelated paper: MRI Brain Tumor Segmentation Using Genetic Algorithm With SVM Classifier
Paper: A Novel Term Weighting Scheme Model
Related paper: Supervised and Traditional Term Weighting Methods for Automatic Text Categorization
Unrelated paper: Human and Rodent Homologies in Action Control: Corticostriatal Determinants of Goal-Directed and Habitual Action
Paper: Accessible Maps for the Visually Impaired
Related paper: Instant tactile-audio map: enabling access to digital maps for people with visual impairment
Unrelated paper: Texture-based approach for text detection in images using support vector machines and continuously adaptive mean shift algorithm
Paper: Accessible Maps for the Visually Impaired
Related paper: Instant tactile-audio map: enabling access to digital maps for people with visual impairment
Unrelated paper: Partial trisomy 20q in a fetus with hypoplastic nasal bone, mild ventriculomegaly, and short femur.
Paper: Accessible Maps for the Visually Impaired
Related paper: Instant tactile-audio map: enabling access to digital maps for people with visual impairment
Unrelated paper: In Defense of the Classification Loss for Person Re-Identification
Paper: Accessible Maps for the Visually Impaired
Related paper: Instant tactile-audio map: enabling access to digital maps for people with visual impairment
Unrelated paper: The Benefit of Pets and Animal-Assisted Therapy to the Health of Older Individuals
Paper: Accessible Maps for the Visually Impaired
Related paper: Instant tactile-audio map: enabling access to digital maps for people with visual impairment
Unrelated paper: Efficacy and safety of i.v. sodium benzoate in urea cycle disorders: a multicentre retrospective study
Paper: Simulation of DC- DC Boost Converter by Coupled Inductor Using PSIM
Related paper: A High-Efficiency DC–DC Converter Using 2 nH Integrated Inductors
Unrelated paper: high - efficiency , high step - up dc – dc converters .
Paper: Simulation of DC- DC Boost Converter by Coupled Inductor Using PSIM
Related paper: Interleaved Converter With Voltage Multiplier Cell for High Step-Up and High-Efficiency Conversion
Unrelated paper: Clicks: An effective algorithm for mining subspace clusters in categorical datasets
Paper: Simulation of DC- DC Boost Converter by Coupled Inductor Using PSIM
Related paper: A High-Efficiency DC–DC Converter Using 2 nH Integrated Inductors
Unrelated paper: learning and soft computing , support vector machines , neural networks , and fuzzy logic models , vojislav kecman ; mit press , cambridge , ma , 2001 , isbn 0 - 262 - 11255 - 8 , 2001 , pp 578 .
Paper: Simulation of DC- DC Boost Converter by Coupled Inductor Using PSIM
Related paper: A High-Efficiency DC–DC Converter Using 2 nH Integrated Inductors
Unrelated paper: Android taint flow analysis for app sets
Paper: Simulation of DC- DC Boost Converter by Coupled Inductor Using PSIM
Related paper: A High-Efficiency DC–DC Converter Using 2 nH Integrated Inductors
Unrelated paper: Makeup like a superstar: Deep Localized Makeup Transfer Network
Paper: Learning Latent Personas of Film Characters
Related paper: comparing clusterings – an information based distance .
Unrelated paper: Class-Based Construction of a Verb Lexicon
Paper: Learning Latent Personas of Film Characters
Related paper: Unsupervised Learning of Narrative Event Chains
Unrelated paper: Nonlinear Dynamic Boltzmann Machines for Time-Series Prediction.
Paper: Learning Latent Personas of Film Characters
Related paper: Unsupervised Learning of Narrative Schemas and their Participants
Unrelated paper: What Influences Consumers ’ Intention to Use Mobile Payments?
Paper: Learning Latent Personas of Film Characters
Related paper: learning narrative structure from annotated folktales .
Unrelated paper: combining schema and instance information for integrating heterogeneous data sources .
Paper: Learning Latent Personas of Film Characters
Related paper: Unsupervised Learning of Narrative Event Chains
Unrelated paper: More than just fun and games: assessing the value of educational video games in the classroom