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 30 for “"Robust algorithms"”.
-
Efficient and Robust Algorithms for Practical Machine Learning
… three different scenarios and presents novel algorithms for learning robust models. These algorithms are efficient as they do not require explicit annotations of the biases, enabling practical machine learning. First, we introduce an algorithm that operates on data collected from multiple …
-
Efficient and robust algorithms for training machine learning models
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-04-12 without embargo terms
-
Robust algorithms for model-based object recognition and localization
… given space of allowable transformations. Known algorithms for the problem either treat noise very accurately in an unacceptable worst case running time, or may have unreliable output when noise is allowed. We introduce the idea of tolerance which measures the robustness of a recognition and …
-
Robust Statistical Modeling Based on Moment Classes, With Applications to Admission Control, Large Deviations and Hypothesis Testing
… in this thesis is applied to the design of robust algorithms for measurement-based admission control. In addition, models are developed for the evolution of flows and packets in the admission control system, and performance evaluation of the proposed algorithms is carried out through both …
-
Perception of shape and motion
… is concerned with computational fundamentals and robust algorithms for the problem of estimating three-dimensional motion and structure from image sequences under either perspective or orthographic projection. A theoretical framework and a system of methods are developed in this research. The …
-
Error Correction for High-Dimensional Data via Convex Programming
… developments lead to simple, scalable, and robust algorithms for face recognition in the presence of varying illumination and occlusion. The idea is extremely simple: seek the sparsest representation of the test image as a linear combination of training images plus a sparse error term due to …
-
Combined robust and fragile watermarking algorithms for still images. Design and evaluation of combined blind discrete wavelet transform-based robust watermarking algorithms for copyright protection using mobile phone numbers and fragile watermarking algorithms for content authentication of digital still images using hash functions.
… images. New blind transform domain block based algorithms using one-level and two-level Discrete Wavelet Transform (DWT) were developed for copyright protection. The mobile number with international code is used as the watermarking data. The robust algorithms used the Low-Low frequency …
-
Automated defect detection and evaluation in X-ray CT images
… a fully automated assembly line, which requires robust algorithms for volumetric image analysis on noisy data. This work provides methods for the automatic detection of defects and their geometric description. The approach will be based on spatial statistical analysis of the voxel structure to …
-
Accelerating Gauss-Newton filters on FPGA's
… is now possible to reconsider more heavy-weight, robust algorithms such as the original nonrecursive Gauss-Newton filter on which the Kalman filter is based. This dissertation investigates the acceleration of such a filter using FPGA technology, making use of custom, reduced-precision number …
-
Support vector machine and its applications in information processing
… there is a need for fast, accurate and robust algorithms for data analysis. Improvements in databases technology, computing performance and artificial intelligence have contributed to the development of intelligent data analysis. The primary aim of data mining is to discover patterns in …
-
A numerical optimization-based methodology for application robustification: transforming applications for error tolerance
… optimization. We evaluate the potential robustness and energy benefits of the proposed approach using an FPGA-based framework that emulates timing errors in the floating point unit (FPU) of a Leon3 processor. We show that stochastic versions of applications have the potential to produce …
-
Multiprocessor sparse SVD algorithms and applications
… been made over the past 10 years in developing robust algorithms for the solution of the sparse symmetric eigenvalue problem using Lanczos (with or without re-orthogonalization) and subspace iteration methods. Our intent is to extend and refine this knowledge for computing the sparse singular …
-
Learning the dynamics of deformable objects and recursive boundary estimation using curve evolution techniques
… primary objective of this thesis is to develop robust algorithms for the incorporation of statistical information in the problem of estimating object boundaries in image data. We propose two primary algorithms, one which jointly estimates the underlying field and boundary in a static image and …
-
Probabilistic Inference for Inference Time Scaling of Language Models
… method maintains a diverse set of candidates and robustly balances exploration and exploitation. Our empirical evaluation demonstrates that our particle filtering methods have a 4–16x better scaling rate over deterministic search counterparts on both various challenging mathematical and more …
-
Flexible Fault Tolerance for the Robot Operating System
… amount of active research around developing robust algorithms for all parts of the autonomous vehicle stack including sensing, localization, mapping, perception, prediction, planning, and control. Additionally, some of these research projects have involved the use of the Robot Operating …
-
Practical color-based motion capture
… vision problems and lead to efficient and robust algorithms for hand and upper body tracking. Specifically, our highly descriptive color patterns alleviate ambiguities that are commonly encountered when tracking only silhouettes or edges, allowing us to employ a nearest-neighbor approach to …
-
Development of a simulation-based platform for autonomous vehicle algorithm validation
Developing robust algorithms for autonomous driving typically requires extensive validation and testing with physical hardware platforms and increasingly requires large amounts of diverse training data. The physical cost of these hardware platforms makes eld testing prohibitive, and the cost of …
-
Algorithms for autonomous urban navigation with formal specifications
… decision making" is essential to devise robust algorithms with provable guarantees on performance. We pursue two main directions here. The first part considers planning and control algorithms that satisfy temporal specifications expressed using formal languages. We focus on task …
-
From plant to dealer : improving route optimization for outbound vehicle distribution at an automobile manufacturer
… to dealer. While these software programs include robust algorithms for optimizing the network, they are only as strong as the user inputs. To gain maximum value from supply chain software, automotive companies must fully understand the structure of their networks, their costs, and their …
-
An implementation of terrain geomorphing in the vertex shader for synthetic planetary surfaces
… (VBNS) terrain recognition and navigation algorithms. The VBNS will fly a trajectory over the planet, taking pictures along the flight and dynamically updating the imagery passed to the VBNS. The pictures will be generated based on the current camera angle and attitude. Testing in this more …
Page 1 of 2