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.
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Showing 1 to 20 of 209 for “"Feature-based"”.
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Feature based costing of extruded parts
… cost of parts made by the extrusion process. Feature Based Costing (FBC) techniques have been used to develop the cost model, which is intended to be used early in the design phase of a part, when the geometry and the material are being defined in a Computer Aided Design (CAD) software by the …
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Cyclostationarity Feature-Based Detection and Classification
Cyclostationarity feature-based (C-FB) detection and classification is a large field of research that has promising applications to intelligent receiver design. Cyclostationarity FB classification and detection algorithms have been applied to a breadth of wireless communication signals — analog and …
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Feature-Based Transfer Learning in Novel Systems
… interested in a form of transfer learning called feature-based transfer where the domain adaptation step is based on changing the feature spaces of the source and target domains. In the original feature space, the source and target domains are different. By mapping the data to a new space, their …
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Feature-based object tracking in maritime scenes.
… methods of the monitoring: radar and satellite-based aids and human observation. Though radar aids are relatively accurate at long distances, their capability of detecting small, unmanned or non-metallic craft that generally do not reflect radar waves sufficiently enough, is limited. The …
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Development of a manufacturing feature-based design system
Traditional CAD systems are based on the serial approach of the product development cycle: the design process is not integrated with other activities and thus it can not provide information for subsequent phases of product development. In order to eliminate this problem, many modern CAD systems …
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Feature-Based Neuro-Symbolic Networks for Global Diagnostics
… concern for patterns of the system behavior or features associated with them. For large-scale systems with complex dynamics, global as well as local diagnostics become of great importance, where sensory information is used as input for the local diagnostics, and patterns of behavior or features …
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Feature-Based Texture Synthesis and Hierarchical Tensor Approximation
Finally, we propose to apply multilinear models to wavelet domain to reduce overhead. High-frequency wavelet sub-bands are subdivided into small blocks most of which get pruned. The blocks are usually correlated especially when properly classified. Different channels and sub-bands may exhibit …
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A feature-based fingerprinting scheme robust to desynchronization
… scheme uses compressed SURF (Speeded-Up Robust Features) image features as side information in order to estimate and invert any geometric attack in a given class. We consider simple linear attacks (affine transforms), and more complex ones (homography and image warping). Our …
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Landmark detection for distinctive feature-based speech recognition
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1995.
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Feature-based pronunciation modeling for automatic speech recognition
… pronunciation as multiple streams of linguistic features rather than a single stream of phones. Features may correspond to the positions of the speech articulators, such as the lips and tongue, or to acoustic or perceptual categories. By allowing for asynchrony between features and per-feature …
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A feature-based approach to continuous-gesture analysis
Thesis (M.S.)--Massachusetts Institute of Technology, Program in Media Arts & Sciences, 1994.
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Feature-based methods for large scale dynamic programming
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1995.
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A feature-based framework for evaluating synthetic human mobility
… remains challenging. This study introduces a feature-based evaluation framework that characterizes trajectories through a unified set of statistical, geometric, and temporal descriptors. The framework is applied to benchmark GAN- and diffusion-based generative models using three real-world …
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Toward implementation of a feature-based lexical access system
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1998.
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Feature-based design of solids with local composition control
This thesis presents a parametric and feature-based methodology for the design of solids with local composition control (LCC). A suite of composition design features are conceptualized and implemented. The designer can use them singly or in combination, to specify the composition of complex …
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Feature based analysis of selective limited motion in assemblies
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1998.
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Feature based variation modeling of preliminary injection molded parts
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1998.
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Machining feature-based system for supporting step-compliant milling process
… process planning which requires machining features enriched data. The aim of this research is developing a new methodology to translate the EXPRESS language model of CAD STEP data into a new product data representation and enriched in machining features which is more beneficial to machining …
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Shape optimization using feature-based CAD systems and adjoint methods
… which uses the parameters defining the features in a feature-based CAD model as design variables. This process exploits adjoint methods for the computation of gradients, which predicts how the objective function changes for an infinitesimally small movement of each surface mesh node in …
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Significance of omnidirectional fisheye cameras for feature-based visual SLAM
… information density. The task of using camera-based computer vision techniques for navigation is typically referred to as visual simultaneous localization and mapping (SLAM), where a robot both estimates its pose and reconstructs its environment simultaneously using only cameras. Most existing …
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