Search Results
GestureMap: Supporting Visual Analytics and Quantitative Analysis of Motion Elicitation Data by Learning 2D Embeddings
This paper presents GestureMap, a visual analytics tool for gesture elicitation which directly visualises the space of gestures.
Human-Computer Interaction H.5.2
Neuron-based Multifractal Analysis of Neuron Interaction Dynamics in Large Models
In recent years, there has been increasing attention on the capabilities of large models, particularly in handling complex tasks that small-scale models are unable to perform.
DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks
Despite a rapid rise in the quality of built-in smartphone cameras, their physical limitations - small sensor size, compact lenses and the lack of specific hardware, - impede them to achieve the quality results of DSLR cameras.
Grokking at the Edge of Linear Separability
Importantly, in the vicinity of the transition, that is, for training sets that are almost separable from the origin, the model may overfit for arbitrarily long times before generalizing.
An SPH formulation for general plate and shell structures with finite deformation and large rotation
To resolve the geometric non-linearity and capture finite deformation and large rotation, two reduced-dimensional linear-reproducing correction matrices are introduced, and weighted non-singularity conversions between the rotation angle and pseudo normal are formulated.
Numerical Analysis Computational Engineering, Finance, and Science Numerical Analysis
Medical Concept Representation Learning from Electronic Health Records and its Application on Heart Failure Prediction
Objective: To transform heterogeneous clinical data from electronic health records into clinically meaningful constructed features using data driven method that rely, in part, on temporal relations among data.
Exploring the Generalizability of Spatio-Temporal Traffic Prediction: Meta-Modeling and an Analytic Framework
The Spatio-Temporal Traffic Prediction (STTP) problem is a classical problem with plenty of prior research efforts that benefit from traditional statistical learning and recent deep learning approaches.
I M Avatar: Implicit Morphable Head Avatars from Videos
Traditional 3D morphable face models (3DMMs) provide fine-grained control over expression but cannot easily capture geometric and appearance details.
Exploring the Accuracy Potential of IMU Preintegration in Factor Graph Optimization
Inertial measurement unit (IMU) preintegration is widely used in factor graph optimization (FGO); e. g., in visual-inertial navigation system and global navigation satellite system/inertial navigation system (GNSS/INS) integration.
Robotics
Angler: Helping Machine Translation Practitioners Prioritize Model Improvements
Machine learning (ML) models can fail in unexpected ways in the real world, but not all model failures are equal.
