Now showing items 1-20 of 1753

• #### The 2nu-SVM: A Cost-Sensitive Extension of the nu-SVM ﻿

(2005-12-01)
Standard classification algorithms aim to minimize the probability of making an incorrect classification. In many important applications, however, some kinds of errors are more important than others. In this report we ...
• #### 3-D Local Radon Power Spectra for Seismic Attribute Extraction ﻿

(1998-01-15)
In this paper we discuss a method for volume attribute extraction that is based on a new type of local Radon power spectrum. The new algorithm results in robust and geologically meaningful volume attributes, such as ...
• #### 3-D segmentation and volume estimation of radiologic images by a novel, feature driven, region growing technique ﻿

(1992)
Magnetic Resonance (MR) imaging is a 3-D, multi-slice, radiological technique that acquires multiple intensities corresponding to each voxel. The transverse relaxation time, T$\sb1$, and the axial relaxation time, T$\sb2$, ...
• #### 3D Geometry Coding using Mixture Models and the Estimation Quantization Algorithm ﻿

(2002-09-01)
3D surfaces are used in applications such as animations, 3D object modeling and visualization. The geometries of such surfaces are often approximated using polygonal meshes. This thesis aims to compress 3D geometry meshes ...
• #### 3D microfabrication of single-wall carbon nanotube/polymer composites by two-photon polymerization lithography ﻿

(2013)
We present a method to develop single-wall carbon nanotube (SWCNT)/polymer composites into arbitrary three-dimensional micro/nano structures. Our approach, based on two-photon polymerization lithography, allows one to ...
• #### 802.11b Operating in a Mobile Channel: Performance and Challenges ﻿

(2003-09-20)
In the past, the worlds of wireless voice and data transmission have been largely disjoint. Voice traffic has been carried over circuit-switched cellular links, and data has been largely restricted to packet-switched ...
• #### A behavioral approach to positive interpolation ﻿

(2005)
We study interpolation by positive functions from a behavioural point of view. In particular, by considering the notion of mirror image data, the interpolation problem with passivity constraint is transformed into an ...
• #### A closed-loop model of the ovine cardiovascular system ﻿

(2003)
The conscious sheep is an important large animal model for the study of human cardiovascular and cardiopulmonary system. In this study we develop a closed-loop mathematical model of its cardiovascular system. A distributed ...
• #### A coding theoretic approach to image segmentation ﻿

(2001)
Using a coding theoretic approach, we achieve unsupervised image segmentation by implementing Rissanen's concept of Minimum Description Length (MDL) for estimating piecewise homogeneous regions in images. MDL offers a ...
• #### A communications and interaction model for intelligent cooperating robots ﻿

(1993)
In complex robotic operating environments in which robots must cooperate in a flexible and event-driven manner, a cooperative distributed environment for intelligent control is required. We develop a realistic technique ...
• #### A Compressive Phase-Locked Loop ﻿

(2011)
We develop a new method for tracking narrowband signals acquired through compressive sensing, called the compressive sensing phase-locked loop (CS-PLL). The CS-PLL enables one to track oscillating signals in very large ...

(1973)

(1971)

(1968)
• #### A Data and Platform-Aware Framework For Large-Scale Machine Learning ﻿

(2015-04-24)
This thesis introduces a novel framework for execution of a broad class of iterative machine learning algorithms on massive and dense (non-sparse) datasets. Several classes of critical and fast-growing data, including image ...

(1970)

(1986)
• #### A dual acousto-optic laser scanning microscope system for the study of dendritic integration: Design, construction, and preliminary results ﻿

(2003)
Recent research has highlighted the vital role played by dendrites in effecting the computational properties of single neurons in the central nervous system (CNS). An ultraviolet (UV) acousto-optic laser scanning microscope ...
• #### A globally convergent algorithm for training multilayer perceptrons for data classification and interpolation ﻿

(1991)
This thesis addresses the issue of applying a "globally" convergent optimization scheme to the training of multi-layer perceptrons, a class of Artificial Neural Networks, for the detection and classification of signals in ...
• #### A hierarchical wavelet-based framework for pattern analysis and synthesis ﻿

(2000)
Despite their success in other areas of statistical signal processing, current wavelet-based image models are inadequate for modeling patterns in images, due to the presence of unknown transformations inherent in most ...