Results 71 to 80 of about 6,086,701 (288)
Noise adaptive training for subspace Gaussian mixture models [PDF]
, 2013 Noise adaptive training (NAT) is an effective approach to normalise environmental distortions when training a speech recogniser on noise-corrupted speech.
Renals, Steve, Ghoshal, Arnab, Lu, Liang
core
$p$-Central Subspaces of Central Simple Algebras
, 2014 PhD Thesis, Bar-Ilan University. Advisor: Uzi Vishne. Initially submitted in August 2013.
openaire +2 more sources
Advanced Science, EarlyView.A Transformer‐based AI framework, DLINP, screens millions of compounds to identify Co68, a cobalt‐pincer organometallic complex that biases TLR4‐MD2 signaling toward antitumor interferon activation while suppressing inflammatory toxicity through an early TLR4‐SYK‐STAT1 axis.
Xuefei Guo +10 more
wiley +1 more source
On the dual space of a Banach space of entire functions
Математичні СтудіїLet \( \mathcal{L}_1 \) denote the subspace of \( L_1(\mathbb{R}) \) consisting of the restrictions to \( \mathbb{R} \) of entire functions of exponential type at most \( \pi \), equipped with the \( L_1(\mathbb{R}) \)-norm.
Ya. Mykytyuk, N. Sushchyk, D. Lukivska
doaj +1 more source
Adaptive detection of a signal known only to lie on a line in a known subspace, when primary and secondary data are partially homogeneous [PDF]
, 2006 This paper deals with the problem of detecting a signal, known only to lie on a line in a subspace, in the presence of unknown noise, using multiple snapshots in the primary data.
Kraut, Shawn +5 more
core +2 more sources
A bilinear Bogolyubov-Ruzsa lemma with polylogarithmic bounds
Discrete Analysis, 2019 A bilinear Bogolyubov-Ruzsa lemma with polylogarithmic bounds, Discrete Analysis 2019:10, 14 pp. The Bogolyubov-Ruzsa lemma in additive combinatorics states that if $A$ is a subset of density $\alpha$ of $\mathbb{F}^n$, where $\mathbb{F}$ is a finite ...
Kaave Hosseini, Shachar Lovett
doaj +1 more source
Forecasting linear dynamical systems using subspace methods [PDF]
A new procedure to predict with subspace methods is presented in this paper. It is based on combining multiple forecasts obtained from setting a range of values for a specic parameter that is typically xed by the user in the subspace methods literature ...
Alfredo García-Hiernaux
core
Extension of Subspace Identification to LPTV Systems: Application to Helicopters [PDF]
, 2012 In this paper, we focus on extending the subspace identification to the class of linear periodically time-varying (LPTV) systems. The Lyapunov-Floquet transformation is first applied to the system’s state-space model in order to get the monodromy matrix (
Jhinaoui, Ahmed +5 more
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Advanced Science, EarlyView.This work presents a clinically deployable simultaneous PET/MRI workflow which integrates hyperpolarized 13C imaging of metabolism and extracellular pH with [18F]FMISO PET to characterize hypoxia, acidosis, and metabolic reprogramming in feline sarcoma.
Martin Grashei +17 more
wiley +1 more source