Results 131 to 140 of about 17,625 (278)
Undersampling Correction for Array Detector-Based Satellite Spectrometers
, 2004 Array detector-based instruments are now fundamental to measurements of ozone and other atmospheric trace gases from space in the ultraviolet, visible, and infrared.
Chance, Kelly +2 more
core
Adaptive Sampling for BRDF Acquisition
Computer Graphics Forum, EarlyView.We propose a data‐driven adaptive sampling strategy that predicts the optimal sampling pattern and count for BRDF acquisition from a single image, reducing capture time while preserving quality. Abstract The bidirectional reflectance distribution function (BRDF) describes the ratio of incoming radiance to outgoing radiance for all possible pairs of ...
Behnaz Kavoosighafi +3 more
wiley +1 more source
Efficient undersampling methods for highly imbalanced big data: PSU-m and PSU-mm
Machine Learning: Science and TechnologyData in the real world typically have disproportionate distribution, which makes it difficult to extract meaningful insights. In binary classification problems, often the number of instances in certain class dominates the others, making existing ...
Yongseok Jeon
doaj +1 more source
NAADF: Globally Illuminated Voxel Worlds Accelerated with Nested Axis‐Aligned Distance Fields
Computer Graphics Forum, EarlyView.Abstract Achieving realistic rendering of 3D scenes in real time using path tracing is challenging due to the high sample count required, with ray tracing as the bottleneck. Focusing on voxels as a geometry representation offers significant opportunities for optimizations, especially for tracing the rays, but also for computing the samples.
A. Ulschmid +4 more
wiley +1 more source
Machine learning approaches in automated infant General Movements Assessment: A scoping review
Developmental Medicine &Child Neurology, EarlyView.Automated infant General Movements Assessment increasingly uses machine‐ and deep‐learning approaches to classify movement patterns and estimate cerebral palsy risk from video or sensor data. This scoping review highlights how dataset characteristics, recording environment, pose‐estimation accuracy, feature extraction, and model design influence system
Manpreet Kaur +4 more
wiley +1 more source
Neural Network-Assisted DPD of Wideband PA Nonlinearity for Sub-Nyquist Sampling Systems
SensorsThe design of conventional digital predistortion (DPD) requires an analogue-to-digital converter (ADC) with a sampling frequency that is multiple times the signal bandwidth, which is extremely challenging for sub-Nyquist sampling systems with ...
Mengqiu Liu +6 more
doaj +1 more source
, 2014 Both compressed sensing (CS) and parallel imaging effectively reconstruct magnetic resonance images from undersampled data. Combining both methods enables imaging with greater undersampling than accomplished previously. This paper investigates the choice
Vivek K Goyal +5 more
core
Life‐cycle living standards of male‐headed households: Evidence from Stockholm, 1800–80
The Economic History Review, EarlyView.Abstract Recent research in economic history argues for using a household life cycle standard‐of‐living approach that includes the income and expenses of all household members and considers fluctuations in the household over the life course. This study builds on that approach by empirically examining the development of living standards in male‐headed ...
Anton Svensson
wiley +1 more source
Parameter-Free Undersampling for Multi-Label Data
This work presents a novel undersampling scheme to tackle the imbalance problem in multi-label datasets. We use the principles of the natural nearest neighborhood and follow a paradigm of label-specific undersampling.
Sadhukhan, Payel, Palit, Sarbani
core +1 more source
, 2016 OBJECTIVES: The aim of this study was to investigate the influence of variable density and data-driven k-space undersampling patterns on reconstruction quality for compressed sensing (CS) magnetic resonance imaging to provide recommendations on how to ...
Seevinck, Peter R +2 more
core +1 more source