Results 141 to 150 of about 35,609 (308)
Semi‐supervised domain adaptation via subspace exploration
IET Computer VisionRecent methods of learning latent representations in Domain Adaptation (DA) often entangle the learning of features and exploration of latent space into a unified process.
Zheng Han +5 more
doaj +1 more source
Deep Consistent-Inherent Learning for Cross-Modal Subspace Clustering
Guidance, Navigation and ControlDeep cross-modal clustering has been developing at a rapid pace and attracted great attention. It aims to pursue a consistent subspace from different modalities by conventional neural network and achieve remarkable clustering performance.
Yuzhuo Feng, Demin Zhou
doaj +1 more source
Estimation of the signal subspace without estimation of the inverse covariance matrix [PDF]
Let a high-dimensional random vector X can be represented as a sum of two components - a signal S, which belongs to some low-dimensional subspace S, and a noise component N.
Vladimir Panov
core
Composition of Fractional Integral and Derivative Operators: Summarised in Tables
Mathematical Methods in the Applied Sciences, EarlyView.ABSTRACT This paper compiles a complete, detailed list of composition properties for Riemann–Liouville fractional differintegrals, in all possible cases for orders anywhere in the complex plane, with the results presented clearly in a table for easy visual consumption.
Arran Fernandez
wiley +1 more source
Deterministic identification of lossless and dissipative systems
, 2010 We illustrate procedures to identify a state-space representation of a passive or bounded-real system from noise-free measurements. The basic idea underlying our algorithms is to obtain a state sequence from a rank-revealing factorization of a Gramian ...
Rapisarda, Paolo, Trentelman, Harry L.
core
Data-driven adaptive model-based predictive control with application in wastewater systems
, 2011 This study is concerned with the development of a new data-driven adaptive model-based predictive controller (MBPC) with input constraints. The proposed methods employ subspace identification technique and a singular value decomposition (SVD)-based ...
R. Katebi +7 more
core +1 more source
Remarks on the Maximal Regularity for Parabolic Boundary Value Problems With Inhomogeneous Data
Mathematical Methods in the Applied Sciences, EarlyView.ABSTRACT Inspired by Ogawa‐Shimizu and Chen‐Liang‐Tsai on the second and first order derivative estimates of solutions of the heat equation in the upper half space with boundary data in homogeneous Besov spaces, we extend the estimates to any order of derivatives, including fractional derivatives.
Hui Chen, Su Liang, Tai‐Peng Tsai
wiley +1 more source
Subspace methods for Eigenvalue problems
, 2003 This thesis treats a number of aspects of subspace methods for various eigenvalue problems. Vibrations and their corresponding eigenvalues (or frequencies) arise in science, engineering, and daily life. Matrix eigenvalue problems come from a large number of areas, such as chemistry, mechanics, dynamical systems, Markov chains, magneto-hydrodynamics ...
openaire +2 more sources
Ambient vibration testing of concrete dams
, 2011 In this thesis, seven techniques namely; rational fractional polynomial, complex exponential, frequency domain decomposition (FDD) based techniques which include; frequency domain decomposition (FDD), enhanced frequency domain decomposition (EFDD), curve
Bukenya, Patrick
core
Magnetic Resonance in Medicine, EarlyView.ABSTRACT Purpose To evaluate a three dimensional dual echo magnetic resonance fingerprinting sequence for simultaneous proton resonance frequency shift (PRFS) and T1$$ {T}_1 $$ thermometry during microwave ablation with T1$$ {T}_1 $$ improving robustness near gas bubble induced susceptibility changes while PRFS provides high precision elsewhere ...
Moritz Gutt +7 more
wiley +1 more source