Results 111 to 120 of about 4,772,239 (326)
Continuum Robots in Surgery: From Engineering Design to Clinical Practice
Advanced Robotics Research, EarlyView.The hyper‐redundant nature of continuum robot structures enables near‐infinite degrees of freedom leading to immense potential for medical applications. This review provides a historical background of continuum robots and novel ideas shaping their progress to current structural design, sensing technology, modeling techniques, and control methods.
Griffin Smith +6 more
wiley +1 more source
Variational Autoencoder and its Extensions
, 2020 Variační autoencoder je modelem, který v sobě kombinuje pravděpodobnostní přístup a sílu aproximací pomocí neuronových sítí. Lze jej využít jako generativní model nebo například v detekci anomálií. Jeho výhody i nevýhody, stejně jako jeho možná rozšíření,
Michaela Mašková
core
, 2004 Variational integrators are a class of discretizations for mechanical systems which are derived by discretizing Hamilton's principle of stationary action.
West, Matthew
core +1 more source
TacVerse: A Multisensor Dataset and Benchmark for Cross‐Sensor Vision‐Based Tactile Perception
Advanced Robotics Research, EarlyView.TacVerse provides a controlled benchmark of 106 800 tactile images from seven vision‐based tactile sensors across shape classification, grating classification, and force regression. Direct cross‐sensor transfer reveals substantial sensor‐shift degradation, with grating and force perception more affected than shape recognition.
Lan Wei +8 more
wiley +1 more source
Frontiers in MicrobiologyIntroductionThe identification of microbe–drug associations can greatly facilitate drug research and development. Traditional methods for screening microbe-drug associations are time-consuming, manpower-intensive, and costly to conduct, so computational ...
Bo Wang +6 more
doaj +1 more source
Extended Autoencoder for Novelty Detection with Reconstruction along Projection Pathway
Applied Sciences, 2020 Recently, novelty detection with reconstruction along projection pathway (RaPP) has made progress toward leveraging hidden activation values. RaPP compares the input and its autoencoder reconstruction in hidden spaces to detect novelty samples ...
Seung Yeop Shin, Han-joon Kim
doaj +1 more source
Multivariate Variational Autoencoder
CoRRLearning latent representations that are simultaneously expressive, geometrically well-structured, and reliably calibrated remains a central challenge for Variational Autoencoders (VAEs). Standard VAEs typically assume a diagonal Gaussian posterior, which simplifies optimization but rules out correlated uncertainty and often yields entangled or ...
openaire +3 more sources
Solid Harmonic Wavelet Bispectrum for Image Analysis
Advanced Science, EarlyView.The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown +3 more
wiley +1 more source
Discrete Variational Autoencoders
CoRR, 2016 Probabilistic models with discrete latent variables naturally capture datasets composed of discrete classes. However, they are difficult to train efficiently, since backpropagation through discrete variables is generally not possible. We present a novel method to train a class of probabilistic models with discrete latent variables using the variational
openaire +3 more sources
Advanced Science, EarlyView.Deep‐learning‐based signal enhancement is an effective way to recover high‐resolution details from a low‐resolution chromatin contact map. However, due to computational challenges, existing methods commonly divide up the contact map into small patches and create artificial discontinuities at patch boundaries.
Qinyao Li +6 more
wiley +1 more source