Search Results - Objectives Resolution

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    Haptics: Science, Technology, Applications 13th International Conference on Human Haptic Sensing and Touch Enabled Computer Applications, EuroHaptics 2022, Hamburg, Germany, May 22...

    Published 2022
    Table of Contents: “…ationary Hands -- Perception of friction in tactile exploration of micro-structured rubber samples -- Influence of Prior Visual Information on Exploratory Movement Direction in Texture Perception -- Guidance for the Design of Vibrotactile Patterns for Use on the Human Back -- Speed Discrimination In The Apparent Haptic Motion Illusion -- Neutral point in haptic perception of softness -- Pilot Study on Presenting Pulling Sensation by Electro-Tactile Stimulation -- A Preliminary Study on the Perceptual Independence Between Vibrotactile and Thermal Senses -- Spatial compatibility of visual and tactile stimulation in shared haptic perception -- Increasing Perceived Weight and Resistance by Applying Vibration to Tendons during Active Arm Movements -- A comparison of haptic and auditory feedback as a warning signal for slip in tele-operation scenarios -- Experiencing touch by technology -- Effect of Focus Direction and Agency on Tactile Perceptibility -- Haptic Guidance for Teleoperation: Optimizing Performance and User Experience -- A Multi-Modal Haptic Armband for Finger-Level Sensory Feedback from a Prosthetic Hand -- Sound Pressure Field Reconstruction for Ultrasound Phased Array by Linear Synthesis Scheme Optimization -- A Rotary Induction Actuator for Kinesthetic and Tactile Rendering -- Haptic Feedback for Wrist Angle Adjustment -- Larger skin-surface contact through a fingertip wearable improves roughness perception -- Expanding Dynamic Range of Electrical Stimulation Using Anesthetic Cream -- Haptic Rattle: Multi-Modal Rendering of Virtual Objects Inside a Hollow Container -- Design of a 2-DoF Haptic Device for Motion Guidance -- Preliminary Design of a Flexible Haptic Surface -- Human Self-Touch vs Other-Touch Resolved by Machine Learning -- Investigating Movement-Related Tactile Suppression Using Commercial VR Controllers -- Estimation of Frictional Force Using the Thermal Images of Target Surface during Stroking -- Spatial Resolution of Mesoscopic Shapes Presented by Airborne Ultrasound -- Vibrotactile Similarity Perception in Crowdsourced and Lab Studies -- Perception of spatialized vibrotactile impacts in a hand-held tangible for virtual reality -- Wearable Haptics in a Modern VRRehabilitation System: Design Comparison forUsability and Engagement -- Perceiving Sequences and Layouts through Touch -- Whole-Hand Haptics for Mid-Air Buttons -- Proximity-based Haptic Feedback for Collaborative Robotic Needle Insertion -- Furekit: Wearable Tactile Music Toolkit for Children with ASD -- A database of vibratory signals from free haptic exploration of natural material textures and perceptual judgments (ViPer): analysis of spectral statistics.…”
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    Electronic eBook
  5. 2985

    Advances in Intelligent Data Analysis XVIII 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27-29, 2020, Proceedings /

    Published 2020
    Table of Contents: “…Multivariate Time Series as Images: Imputation Using Convolutional Denoising Autoencoder -- Dual Sequential Variational Autoencoders for Fraud Detection -- A Principled Approach to Analyze Expressiveness and Accuracy of Graph Neural Networks -- Efficient Batch-Incremental Classification Using UMAP for Evolving Data Streams -- GraphMDL: Graph Pattern Selection Based on Minimum Description Length -- Towards Content Sensitivity Analysis -- Gibbs Sampling Subjectively Interesting Tiles -- Even Faster Exact k-Means Clustering -- Ising-Based Consensus Clustering on Special Purpose Hardware -- Transfer Learning by Learning Projections from Target to Source -- Computing Vertex-Vertex Dissimilarities Using Random Trees: Application to Clustering in Graphs -- Towards Evaluation of CNN Performance in Semantically Meaningful Latent Spaces -- Vouw: Geometric Pattern Mining Using the MDL Principle -- A Consensus Approach to Improve NMF Document Clustering -- Discriminative Bias for Learning Probabilistic Sentential Decision Diagrams -- Widening for MDL-Based Retail Signature Discovery -- Addressing the Resolution Limit and the Field of View Limit in Community Mining -- Estimating Uncertainty in Deep Learning for Reporting Confidence: An Application on Cell Type Prediction in Testes Based on Proteomics -- Adversarial Attacks Hidden in Plain Sight -- Enriched Weisfeiler-Lehman Kernel for Improved Graph Clustering of Source Code -- Overlapping Hierarchical Clustering (OHC) -- Digital Footprints of International Migration on Twitter -- Percolation-Based Detection of Anomalous Subgraphs in Complex Networks -- A Late-Fusion Approach to Community Detection in Attributed Networks -- Reconciling Predictions in the Regression Setting: an Application to Bus Travel Time Prediction -- A Distribution Dependent and Independent Complexity Analysis of Manifold Regularization -- Actionable Subgroup Discovery and Urban Farm Optimization -- AVATAR - Machine Learning Pipeline Evaluation Using Surrogate Model -- Detection ofDerivative Discontinuities in Observational Data -- Improving Prediction with Causal Probabilistic Variables -- DO-U-Net for Segmentation and Counting -- Enhanced Word Embeddings for Anorexia Nervosa Detection on Social Media -- Event Recognition Based on Classification of Generated Image Captions -- Human-to-AI Coach: Improving Human Inputs to AI Systems -- Aleatoric and Epistemic Uncertainty with Random Forests -- Master your Metrics with Calibration -- Supervised Phrase-Boundary Embeddings -- Predicting Remaining Useful Life with Similarity-Based Priors -- Orometric Methods in Bounded Metric Data -- Interpretable Neuron Structuring with Graph Spectral Regularization -- Comparing the Preservation of Network Properties by Graph Embeddings -- Making Learners (More) Monotone -- Combining Machine Learning and Simulation to a Hybrid Modelling Approach -- LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-Label Classification -- Angle-Based Crowding Degree Estimation for Many-Objective Optimization.…”
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    Electronic eBook
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