Št. zadetkov: 70
Izvirni znanstveni članek
Oznake:
mikrobolometrični senzorji na osnovi titana;THz sistemi spektroskopije v časovni domeni;natančna kontrola THz načina;spremljanje vzorcev sevanja;titanium-based microbolometeric sensors;THz time-domain spectroscopy systems;precise THz mode control;radiation pattern monitoring;
An ability of lensless titanium-based antenna coupled microbolometers (Ti-µbolometers) operating at room temperature to monitor precisely radiation patterns in terahertz time-domain spectroscopy (THz-TDS) systems are demonstrated. To provide comprehensive picture, two different THz-TDS systems and T ...
Leto:
2021
Vir:
Fakulteta za elektrotehniko (UL FE)
Izvirni znanstveni članek
Oznake:
mikrobolometer;teraherčno zaznavanje;teraherčni slikovni sistemi;metoda temnega polja;metoda faznih kontrastov;microbolometer;terahertz sensing;terahertz imaging systems;dark field method;phase contrast method;
Terahertz (THz) imaging and spectroscopy set-ups require fine optical alignment or precise control of spatial mode profile. We demonstrate universal, convenient and easy-to-use imaging—resonant and broadband antenna coupled ultrasensitive titanium-based—dedicated to accurately adjust and control spa ...
Leto:
2020
Vir:
Fakulteta za elektrotehniko (UL FE)
Izvirni znanstveni članek
Oznake:
masonry shear wall;seismic behavior;cyclic test;failure mode;
Experimental performance of reinforced double H-block masonry shear walls under cyclic loading
Leto:
2017
Vir:
Univerza na Primorskem (UP)
Video in druga učna gradiva
Oznake:
computer science;machine learning;bayesian learning
Statistical and computational concerns have motivated parameter estimators based on various forms of likelihood, e.g., joint, conditional, and pseudolikelihood. In this paper, we present a unified framework for studying these estimators, which allows us to compare their relative (statistical) effici ...
Leto:
2008
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;natural language processing
Structured models often achieve excellent performance but can be slow at test time. We investigate structure compilation, where we replace structure with features, which are often computationally simpler but unfortunately statistically more complex. We analyze this tradeoff theoretically and empiric ...
Leto:
2008
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;data mining
Dimensionality reduction plays an important role in many data mining applications involving high-dimensional data. Many existing dimensionality reduction techniques can be formulated as a generalized eigenvalue problem, which does not scale to large-size problems. Prior work transforms the generaliz ...
Leto:
2010
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
technology;nanotechnology;nanoelectronics;nanowires;nanomaterials;carbon nanotubes
As scaling down with Moore's law, the modern silicon complementary metaloxidesemiconductor (CMOS) technology is facing great challenges and people are looking for alternatives. Carbon nanotube (CNT), due to its novel structure and properties, has been regarded as one of the most promising buildin ...
Leto:
2008
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;semantic search
In this paper, we describe a system that automatically extracts quotations from news feeds, and allows efficient retrieval of the semantically annotated quotes. APIs for real-time querying of over 10 million quotes extracted from recent news feeds are publicly available. In addition, each day we add ...
Leto:
2010
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning
Spectral methods are satisfying in that they provide statistically consistent estimators. However, two issues still challenge their widespread adoption: they tend to be inaccurate in smaller data regimes, and they do not directly apply to richer classes of latent-variable models. In this talk, we sh ...
Leto:
2013
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;active learning;computational learning theory;on-line learning;reinforcement learning;semi-supervised learning
We consider the problem of optimizing an approximately convex function over a bounded convex set in $\mathbb{R}^n$ using only function evaluations. The problem is reduced to sampling from an \emph{approximately} log-concave distribution using the Hit-and-Run method, with query complexity of $\mathca ...
Leto:
2015
Vir:
videolectures.net