• Refine Query
  • Source
  • Publication year
  • to
  • Language
  • 352
  • 30
  • 21
  • 13
  • 12
  • 12
  • 12
  • 12
  • 12
  • 12
  • 10
  • 5
  • 1
  • 1
  • Tagged with
  • 508
  • 508
  • 508
  • 232
  • 192
  • 139
  • 112
  • 86
  • 76
  • 63
  • 58
  • 57
  • 55
  • 55
  • 49
  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.

Extracting movement patterns using fuzzy and neuro-fuzzy approaches /

Palancioglu, Haci Mustafa, January 2003 (has links) (PDF)
Thesis (Ph. D.) in Physics--University of Maine, 2003. / Includes vita. Includes bibliographical references (leaves 129-143).

Impact of speed variations in gait recognition

Tanawongsuwan, Rawesak, January 2003 (has links) (PDF)
Thesis (Ph. D.)--College of Computing, Georgia Institute of Technology, 2004. Directed by Aaron Bobick. / Vita. Includes bibliographical references (leaves 119-123).

Feature-based exploitation of multidimensional radar signatures

Raynal, Ann Marie 31 August 2012 (has links)
An important problem in electromagnetics is that of extracting, interpreting, and exploiting scattering mechanisms from the scattered field of a target. Termed “features”, these physics-based descriptions of scattering phenomenology have many and diverse applications such as target identification, classification, validation, and imaging. In this dissertation, the feature extraction, analysis, and exploitation of both synthetic and measured multidimensional radar signatures are investigated. Feature extraction is first performed on simulated data of the highfrequency electromagnetics solver Xpatch. The scattered, far-field of an electrically large target is well-approximated by a discrete set of points known as scattering centers. Xpatch yields three-dimensional (3D) scattering centers of a target one aspect angle at a time by using the shooting and bouncing ray technique and a computer-aided design (CAD) model of the target. The feature extraction technique groups scattering centers across multiple angles that pertain to the same scattering mechanism. Using a nearest neighbor clustering algorithm, this association is carried-out in a multidimensional grid of scattering center angle, bounce, and spatial location, wherein distinct scattering mechanisms are assumed to be non-overlapping. Synthetic monostatic and bistatic feature sets are extracted and analyzed using this algorithm. Additionally, feature sets are exploited to assist humans in electromagnetic CAD model validation. The generation of target CAD models is a challenging, resource-limited, and human-experience-based process. Target features extracted from a CAD model in question are compared individually to measured data from the physical target by projection of their radar signatures. CAD model disagreements such as missing, added, or dimensionally inaccurate components, as well as measurement imperfections are analyzed. Target traceback information of the features identifies flawed areas of the model. The projection value quantifies the degree of disagreement. The feature extraction methodology is next modified for measured radar signatures which lack readily available scattering center and bounce information. First, many ground plane synthetic aperture radar images of overlapping, limited apertures in azimuth are formed from the measurement data. Then, two-dimensional scattering centers of all images are estimated using a modified CLEAN algorithm. Feature extraction is lastly performed as with Xpatch data, though a reduction in grid dimensionality and orthogonality occurs. Finally, measured feature sets are exploited for sparse elevation 3D imaging and improved CAD model validation. The first application estimates the truth 3D scattering center of each feature using linear least squares to then visualize a composite 3D image of the target. The second application projects both synthetic and measured feature radar signatures to mitigate errors from the intersection of features in the combined measurement signature. / text

Adaptive hierarchical classification with limited training data

Morgan, Joseph Troy 28 August 2008 (has links)
Not available / text

Probabilistic approach to parallel plane pattern recognition

Teorey, Toby J. January 1965 (has links)
No description available.

Distribution-free performance bounds in nonparametric pattern classification

Feinholz, Lois, 1954- January 1979 (has links)
No description available.

Emphasis on individual frame distances in isolated word recognition

Hansen, James Charles 12 1900 (has links)
No description available.

A range data acquisition system using a uniquely encoded light pattern

Yee, Soung Ryong 05 1900 (has links)
No description available.

Autonomous tactile object exploration and estimation using simple sensors /

Hollinger, James G., January 1994 (has links)
Thesis (M.S.)--Virginia Polytechnic Institute and State University, 1994. / Vita. Abstract. Includes bibliographical references (leaves 76-80). Also available via the Internet.

Object recognition and pose estimation using appearance-based features and relational indexing /

Costa, Mauro Sergio Figueiredo. January 1997 (has links)
Thesis (Ph. D.)--University of Washington, 1997. / Vita. Includes bibliographical references (leaves [117]-123).

Page generated in 0.1644 seconds