Results 41 to 50 of about 12,007,100 (152)

GLOBAL AND LOCAL SPARSE SUBSPACE OPTIMIZATION FOR MOTION SEGMENTATION [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
In this paper, we propose a new framework for segmenting feature-based moving objects under affine subspace model. Since the feature trajectories in practice are high-dimensional and contain a lot of noise, we firstly apply the sparse PCA to represent ...
M. Ying Yang   +3 more
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]

open access: yes, 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

Adaptive measurement strategy for quantum subspace methods

open access: yesNew Journal of Physics
Estimation of physical observables for unknown quantum states is an important problem that underlies a wide range of fields, including quantum information processing, quantum physics, and quantum chemistry.
Yuma Nakamura   +2 more
doaj   +1 more source

Millimeter Wave Channel Estimation Based on Subspace Fitting

open access: yesIEEE Access, 2018
We consider the channel estimation of millimeter wave (mmWave) multiple-input multiple-output systems, where both the transmitter and receiver adopt hybrid beamforming structure.
Didi Zhang   +3 more
doaj   +1 more source

Ellipsoidal Subspace Support Vector Data Description

open access: yesIEEE Access, 2020
In this paper, we propose a novel method for transforming data into a low-dimensional space optimized for one-class classification. The proposed method iteratively transforms data into a new subspace optimized for ellipsoidal encapsulation of target ...
Fahad Sohrab   +3 more
doaj   +1 more source

Semi-Supervised Cross-Modal Retrieval Based on Discriminative Comapping

open access: yesComplexity, 2020
Most cross-modal retrieval methods based on subspace learning just focus on learning the projection matrices that map different modalities to a common subspace and pay less attention to the retrieval task specificity and class information. To address the
Li Liu, Xiao Dong, Tianshi Wang
doaj   +1 more source

Forecasting linear dynamical systems using subspace methods [PDF]

open access: yes
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  

Sinusoidal Order Estimation Using Angles between Subspaces

open access: yesEURASIP Journal on Advances in Signal Processing, 2009
We consider the problem of determining the order of a parametric model from a noisy signal based on the geometry of the space. More specifically, we do this using the nontrivial angles between the candidate signal subspace model and the noise subspace ...
Søren Holdt Jensen   +2 more
doaj   +1 more source

Unit Roots and Cointegrating Matrix Estimation using Subspace Methods [PDF]

open access: yes
We propose a new procedure to detect unit roots based on subspace methods. It has three main original features. First, the same method can be applied to single or multiple time series.
José Casals   +2 more
core  

Generalized Portmanteau Tests Based on Subspace Methods

open access: yesRevista Colombiana de Estadística, 2013
The problem of diagnostic checking is tackled from the perspective of the subspace methods. Two statistics are presented and their asymptotic distributions are derived under the null hypothesis.
ALFREDO GARCÍA-HIERNAUX
doaj  

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