Results 81 to 90 of about 240,630 (269)
, 2007 We show how rate-distortion theory provides a mechanism for automated theory building by naturally distinguishing between regularity and randomness. We start from the simple principle that model variables should, as much as possible, render the future ...
Crutchfield, James P., Still, Susanne
core +1 more source
Speech Coding Based On Sparse Linear Prediction
, 2009 Publication in the conference proceedings of EUSIPCO, Glasgow, Scotland ...
Giacobello, Daniele +4 more
openaire +2 more sources
Aggressive prostate cancer is associated with pericyte dysfunction
Molecular Oncology, EarlyView.Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero +11 more
wiley +1 more source
Analysis of a Modern Voice Morphing Approach using Gaussian Mixture Models for Laryngectomees
, 2012 This paper proposes a voice morphing system for people suffering from Laryngectomy, which is the surgical removal of all or part of the larynx or the voice box, particularly performed in cases of laryngeal cancer.
Chadha, Aman +2 more
core +2 more sources
Screening for lung cancer: A systematic review of overdiagnosis and its implications
Molecular Oncology, EarlyView.Low‐dose computed tomography (CT) screening for lung cancer may increase overdiagnosis compared to no screening, though the risk is likely low versus chest X‐ray. Our review of 8 trials (84 660 participants) shows added costs. Further research with strict adherence to modern nodule management strategies may help determine the extent to which ...
Fiorella Karina Fernández‐Sáenz +12 more
wiley +1 more source
Identification and classification of coronavirus genomic signals based on linear predictive coding and machine learning methods. [PDF]
Biomed Signal Process Control, 2023 Khodaei A +3 more
europepmc +1 more source
Art Neural Networks for Remote Sensing: Vegetation Classification from Landsat TM and Terrain Data [PDF]
, 1995 A new methodology for automatic mapping from Landsat Thematic Mapper (TM) and terrain data, based on the fuzzy ARTMAP neural network, is developed. System capabilities are tested on a challenging remote sensing classification problem, using spectral and ...
Carpenter, Gail A. +3 more
core +3 more sources
Predictive Coding for Locally-Linear Control
, 2020 High-dimensional observations and unknown dynamics are major challenges when applying optimal control to many real-world decision making tasks. The Learning Controllable Embedding (LCE) framework addresses these challenges by embedding the observations into a lower dimensional latent space, estimating the latent dynamics, and then performing control ...
Shu, Rui +7 more
openaire +2 more sources
Molecular Oncology, EarlyView.Urinary LGALS3BP is elevated in bladder cancer patients compared to healthy controls as detected by the 1959 antibody–based ELISA. The antibody shows enhanced reactivity to the high‐mannose glycosylated variant secreted by cancer cells treated with kifunensine (KIF).
Asia Pece +18 more
wiley +1 more source
GOLF: A Singing Voice Synthesiser with Glottal Flow Wavetables and LPC Filters
Transactions of the International Society for Music Information RetrievalThis paper introduces GlOttal-flow LPC Filter (GOLF), a novel method for singing voice synthesis (SVS) that exploits the physical characteristics of the human voice using differentiable digital signal processing.
Chin-Yun Yu, György Fazekas
doaj +1 more source