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 138 for “"random fields"”.
-
Polarimetry Of Random Fields
… and spectral scales which are small enough, all fields are fully polarized. In the optical regime, however, instantaneous fields can rarely be examined, and, instead, only average quantities are accessible. The study of polarimetry is concerned with both the description of electromagnetic fields …
-
From random fields to networks
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1993.
-
Gene prediction with conditional random fields
… thesis, I built upon the semi-Markov conditional random field framework created by DeCaprio et al. to predict protein-coding genes in DNA sequences. Several novel extensions were designed and implemented, including a 29-state model with both semi-Markov and Markov states, an N-best Viterbi …
-
Greedy structure learning of Markov Random Fields
… undirected graphical model, also called a Markov Random Field (MRF), given a set of independent and identically distributed (i.i.d.) samples. Specifically, we introduce an adaptive forward-backward greedy algorithm for learning the structure of a discrete, pairwise MRF given a high dimensional set …
-
Object recognition with latent Conditional Random Fields
… to local features is modelled by a Conditional Random Field (CRF). We propose an extension of the CRF framework that incorporates hidden variables and combines class conditional CRFs into a unified framework for part-based object recognition. The random field captures spatial coherence between …
-
Optimization of Markov Random Fields in Computer Vision
… vision tasks can be formulated using Markov Random Fields (MRF). Except in certain special cases, optimizing an MRF is intractable, due to a large number of variables and complex dependencies between them. In this thesis, we present new algorithms to perform inference in MRFs, that are either …
-
Optimization of Markov Random Fields in Computer Vision
… vision tasks can be formulated using Markov Random Fields (MRF). Except in certain special cases, optimizing an MRF is intractable, due to a large number of variables and complex dependencies between them. In this thesis, we present new algorithms to perform inference in MRFs, that are either …
-
Rational modeling and linear prediction of random fields
… is proposed that is based upon modeling a random field as the output of a rational linear system driven by the innovations of the field. A variety of linear prediction problems, each depending upon the definition of past, may be formulated for random fields; consequently, there are an equal …
-
Lossless Coding of Markov Random Fields with Complex Cliques
The topic of Markov Random Fields (MRFs) has been well studied in the past, and has found practical use in various image processing, and machine learning applications. Where coding is concerned, MRF specific schemes have been largely unexplored. In this thesis, an overview is given of recent …
-
Spectral densities of discrete and continuous-indexed random fields
… first looks at sequences of discrete-indexed random fields. When these random fields satisfy certain linear dependence conditions uniformly, each will have a spectral density function (not necessarily continuous) that is bounded between two positive constants. These spectral density functions …
-
Regularly varying random fields and analyses of extremal clusters
… the extremes of multivariate regularly varying random fields using the tail field and the spectral field, notions that extend the tail and spectral processes of Basrak and Segers (2009). We discuss several properties and the limit theorems for the related point processes. The spatial context …
-
Mesoscale random fields of stiffness for in-plane elasticity
… material properties are not possible for random heterogeneous materials at intermediate length scales, which is to say at some mesoscale above the microscale yet prior to the attainment of the representative volume element (RVE). Focusing on elastic moduli in particular, a micromechanical …
-
Evaluation of the difference between two spatiotemporal random fields
… the spatial characteristics of spatiotemporal random fields is often in demand in various fields of study. Especially in climatology, people are interested in learning the difference between the synthetic climate simulation model and climate field reconstructions (CFR) which are estimates of …
-
SPDE-derived random fields in structural optimisation and elastodynamics
Random imperfections are an inherent aspect of engineered systems, originating from various sources such as manufacturing variations, material heterogeneity, and environmental factors. These imperfections inevitably introduce uncertainties in the performance of structures which are rarely …
-
Texture modeling--temperature effects on Markov/Gibbs random fields
Thesis: Sc. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 1991
-
Gene identification using phylogenetic metrics with conditional random fields
… discriminative models such as Conditional Random Fields (CRFs) have recently emerged, which focus specifically on the discrimination problem of gene identification, and can therefore be more powerful. One of the most attractive characteristics of these models is that their general framework …
-
Energy-aware Sparse Sensing of Spatial-temporally Correlated Random Fields
… of energy aware sparse sensing schemes of random fields that are correlated in the space and/or time domains. The objective of sparse sensing is to reduce the number of sensing samples in the space and/or time domains, thus reduce the energy consumption and complexity of the sensing system. …
-
Polygonal random fields and the reconstruction of piecewise continuous functions
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1993.
-
A GPU implementation of tiled belief propagation on Markov random fields
In this work, we present a parallelized version of tiled belief propagation for stereo matching. The proposed algorithm is implemented in CUDA to leverage parallel processing capabilities of GPUs. In our solution, the original tiled BP algorithm is combined with a number of optimizations specific …
Page 1 of 7