Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 22 for “"ill-posed problem"”.
-
Recovery of 3D articulated motion from 2D correspondences
… the 3D motion of the human body is an important problem in computer vision. Applications that would benefit from 3D motion include physical therapy, computer user interfaces, and 3D animation. Unfortunately, recovering 3D position from one 2D camera is an inherently ill-posed problem. This thesis …
-
Synthesis and perception of sounds from physical interactions reveals auditory intuitive physics
… acoustics. Second, we show that humans solve ill-posed problem of inferring of object mass and damping by using internalized knowledge of the distribution of object resonances. Third, we provide evidence for “auditory intuitive physics” in which human listeners derive physical information …
-
Exploiting biological pathways to infer temporal gene interaction models
… interactions among all genes, but this inference problem is not tractable because of the large number of genes, the small number of experimental observations for each gene, and the complexity of biological networks. We focus instead on the B cell receptor (BCR) signaling pathway, which narrows the …
-
A bayesian approach to wireless location problems
… location estimation in wireless networks are proposed. We explore non-hierarchical and hierarchical Bayesian graphical models that use prior knowledge about physics of signal propagation, as well as different modifications of Bayesian bivariate spline models. The hierarchical Bayesian model that …
-
Inference of multiple sparse networks in the presence of hidden nodes
… hidden and cannot be measured. To address this ill-posed problem, we assume that there exist sets of graph signals that are stationary on the networks, which provides a global relationship between the observations and the network topologies such that we may characterize the effect of the hidden …
-
Interactively Guiding Semi-Supervised Clustering via Attribute-based Explanations
… image clustering is a challenging and often ill-posed problem. Existing image descriptors fail to capture the clustering criterion well, and more importantly, the criterion itself may depend on (unknown) user preferences. Semi-supervised approaches such as distance metric learning and …
-
Advancing Blind Face Restoration: Robustness and Identity Preservation with Integrated GAN and Codebook Prior Architectures
… (LQ) inputs. BFR presents as a challenging ill-posed problem, necessitating auxiliary information to constrain the solution space. While geometric and generative facial priors provide some support in BFR, their effectiveness wanes under intense degradation. Discrete codebook priors, though …
-
Energy efficient enabling technologies for semantic video processing on mobile devices
Semantic object-based processing will play an increasingly important role in future multimedia systems due to the ubiquity of digital multimedia capture/playback technologies and increasing storage capacity. Although the object based paradigm has many undeniable benefits, numerous technical …
-
Mathematical Challenges in Electron Microscopy
… to this, the mathematical field of inverse problems has also evolved dramatically. Many new methods have been introduced to improve the recovery of unknown structures from indirect data, typically an ill-posed problem. In particular, sparsity promoting functionals such as the total variation …
-
Single Image Super-Resolution via Deep Dense Network
… of the HR image from LR image is a highly ill-posed problem. In this thesis, the image SR problem is solved from three aspects with deep dense network models, including improving reconstruction accuracy, optimizing model training-time memory consumption, and extending effective SR scale …
-
Motor Imagery Based Brain Computer Interfaces
… A novel non-uniform sampling scheme is proposed to estimate the local mean of multivariate signals. The non-uniform samples are generated by linearly transforming the hypersphere into an N dimensional ellipsoid using singular value decomposition (SVD). A number of experiments on synthetic …
-
Characterization of Subsurface Heterogeneity Using Transient Hydraulic and Tracer Tomography
… heads. The SSLE was then tested using a well-posed problem and an ill-posed problem. To affirm the robustness of our approach, we applied transient hydraulic tomography to a hypothetical three-dimensional heterogeneous aquifer.Our SSLE approach involves solving adjoint equations during the …
-
Learning Monocular Cues in 3D Reconstruction
3D reconstruction is a fundamental problem in computer vision. While a wide range of methods has been proposed within the community, most of them have fixed input and output modalities, limiting their usefulness. In an attempt to build bridges between different 3D reconstruction methods, we focus …
-
Color : functional organization and behavior
… what it is used for, how we solve the classic problem of color constancy, and how our color processing machinery is functionally organized in the brain. Chapter 1 provides a brief survey of the background to these questions. Chapter 2 describes functional MRI studies in humans that find both …
-
Learning sparse representation for image signals
… In this dissertation, we address the problem of how to learn such representation or dictionary from training images, particularly for the tasks of super-resolution, classification, and opportunistic sensing. Image super-resolution is an ill-posed problem in which we want to recover the …
-
Shape, Reflectance, and Illumination From Appearance
… Inverting this process is a long-standing, ill-posed problem in computer vision, which involves estimating shape, material properties, and/or illumination passively from the object’s appearance. Such “inverse rendering” capabilities enable 3D understanding of our world (as desired in …
-
Inverse Problems in Structural Mechanics
… deals with the solution of three inverse problems in structural mechanics. The first one is load updating for finite element models (FEMs). A least squares fitting is used to identify the load parameters. The basic studies are made for geometrically linear and nonlinear FEMs of beams or …
-
Anwendung des Mikrogravitationslinseneffekts zur Untersuchung astronomischer Objekte
… ersten Art, deren Lösung ein schlecht gestelltes Problem ist. Zu ihrer Lösung wird in dieser Arbeit ein lokales Regularisierungsverfahren angewendet, das an die kausale Strukture der Volterra'schen Gleichung besser angepasst ist als die bisher verwendete Tikhonov-Phillips-Regularisierung. Es zeigt …
-
Microphysical retrieval of non-spherical aerosol particles using regularized inversion of multi-wavelength lidar data
… distribution is classified as a non-linear ill-posed problem. A brief mathematical analysis is presented which reveals the inherent tendency towards highly oscillatory solutions, explores the available options for a generalized solution through regularization methods and quantifies the …
-
Deep learning for image restoration and enhancement
… we use deep learning to address the problems of image restoration and enhancement, with the focus on the following topics: image and video super-resolution (SR), as well as image denoising. For these problems, deep neural networks are generally used as a regression model to predict …
Page 1 of 2