As the ubiquitous complexity of common disease has become apparent, so has the need for novel tools and strategies that can accommodate complex patterns of association. In particular, the analytic challenges posed by the phenomena known as...
We expect wireless body-area networks of pervasive wearable devices will enable in situ health monitoring, personal assistance, entertainment personalization, and home automation. As these devices become ubiquitous, we also expect them to...
Problem Statement Patient safety in the modern hospital is supported by multiple human and technological systems, and this type of high-risk/high-complexity domain requires multiple layers of protection against harm. This fault-tolerant approach is...
Agent-based policy learning in complex and uncertain environments is challenged by escalating computational complexity with the size of the task space (action choices and environmental states) as well as the number of agents. Nonetheless, there is...
Visual searches for a conjunction of features (e.g., a particular combination of color and shape) are ordinarily slow and difficult. However, search efficiency for a particular conjunction can improve dramatically within a few hundred practice...
The brain is a vastly interconnected information processing network. In humans, this network supports the rich mental space at the root of the imagination and enables many flexible cognitive abilities such as scientific and artistic creativity. How...
Prostate cancer (PCa) recurrences are often predicted by assessing the status of surgical margins (SM) – positive surgical margins (PSM) increase the chances of biochemical recurrence by 2-4 times which may lead to PCa recurrence. At present,...
Networks that model relationships in the real world have attracted much attention in the past few years. The "link prediction problem" plays a central role in the network area. In this thesis, we explore the link prediction problem in a...
This thesis is divided into 2 parts. In the first part of the thesis, we describe a software based approach to speeding up the Magnetic Resonance Imaging modality. In the second part of the thesis, we describe Significance Tree Quantization, which...
Steep terrain produces a topographic effect in digital satellite data that can make it difficult to distinguish changes in vegetation species or health from changes in illumination geometry. A multiple linear regression analysis of direct solar...
We describe a set of natural image statistics that are built upon two multi-scale image decompositions, the quadrature mirror filter pyramid decomposition and the local angular harmonic decomposition. These image statistics consist of first- and...
Shape modeling is an important area in computer vision and medical imaging. Shape models have proved valuable in the tasks of object representation, recognition, and classification. This thesis focuses on shape models of 3D surfaces extracted from...
Multimedia systems -- Mathematical models. ; Information storage and retrieval systems. ; Machinery -- Alignment.
This thesis introduces multiple media correlation, a new technology for the automatic alignment of multiple media objects such as text, audio, and video. This research began with the question: what can be learned when multiple multimedia components...
Proteins, the basic structural and functional building blocks of cellular machinery, evolve under significant constraint. Evolutionary pressures limit the acceptable variation and covariation of amino acids in a protein. As such, these evolutionary...
Autonomous off-road navigation in unstructured, terrain can encounter mobility difficulties even when the surface that the vehicle is driving over is level and free from obstacles. Mobility challenges result from soil characteristics that prevent...
Functional magnetic resonance imaging (fMRI) is an important tool for understanding neural mechanisms underlying human brain function. Most fMRI studies use limited sets of well-controlled stimuli to understand neural systems in isolation. The...
There is a growing demand for power-constrained sensors in many areas, particularly in emerging healthcare and next-generation biomedical applications. Such sensors have very limited power budget, among which interface circuits, including analog...
The purpose of this thesis is to describe methods for detecting hidden crevasses on glaciers in Polar regions. Crevasses form in ice sheets as a result of forces imposed upon the brittle ice. The crevasses are hidden from view by bridges of soft...
We present new forensic tools that are capable of detecting traces of tampering in digital images without the use of watermarks or specialized hardware. These tools operate under the assumption that images contain natural properties from a variety...
How is concrete conceptual information represented in the brain? Little is known about the neural organization for details of concrete objects when presented as words. The goal of the first two studies was to investigate this. In the third study,...
The neurophysiological examination of auditory-object representations has focused on how early auditory cortical areas code for the spectral and temporal features of auditory objects. The goals of this dissertation was to investigate how auditory...
Information retrieval -- Mathematical models. ; Electronic information resource searching. ; Computer algorithms. ; Decision making -- Data processing. ; Mathematical optimization.
This thesis presents a unified method for simultaneous solution of three problems in Information Retrieval--metasearch (the fusion of ranked lists returned by retrieval systems to elicit improved performance), efficient system evaluation (the...
Earlier work has suggested that various neurological or neuropsychiatric disorders may result in characteristic spatial patterns in brain activation, potentially allowing their detection from maps of brain activity under different conditions....
The ability to resist highly tempting reward impulses is a struggle that all humans face on a daily basis, one that gives rise to many societal problems such as obesity and drug addiction. This form of self-regulation involves a critical balance...
Humans have a seemingly unique capacity to reflect upon information about the self to form evaluative attitudes that influence their quality of life and predict mental health outcomes. While psychologists have devoted decades of research to the...
Morbidity and complexity involved in lymph node staging via surgical resection and biopsy could ideally be overcome using node assay techniques that are non-invasive. Visible blue dyes, fluorophores and radio-tracers are often used to locate the...
One of the most distinctive aspects of humans as a species is our propensity to form complex social networks made up of intense, non-reproductive bonds with non-kin. Navigating these networks presents a considerable cognitive challenge that is...
The identification of molecular alterations present in cancer is critical to better understand carcinogenesis as well as the clinical trajectories of patients with malignant tumors. Early detection and application of appropriate treatment...
Systemic sclerosis (SSc) is a rare and often-fatal systemic autoimmune disease characterized by vasculature dysfunction, immune activation, and extracellular matrix deposition in skin and internal organs. The etiology of SSc is unknown, but it is...
Brain mapping via EEG activation is a useful tool of basic neuroscience, and has wide clinical applications as well. The mapping is achieved by means of Event Related Potentials (ERPs), task-related changes in EEG time series. The methodology of...
The role of Hedgehog (HH) signaling in bladder cancer is controversial. The HH receptor and negative regulator Patched1 (PTCH1) resides on a region of chromosome 9q, one copy of which is frequently lost in bladder cancer. Inconsistent with PTCH1...
Emergency medical response requires timely and efficient assessment and treatment of casualties. Mass casualty situations, in particular, strain the resources of emergency responders, prompting the need for a well-organized, effective, automated...
We consider a problem of information overload: the conflict between vast amounts of data available in electronic form and inadequate tools for finding relevant information. To alleviate this problem we look at the information organization:...
Social perception -- Physiological aspects. ; Prefrontal cortex -- Physiology.
From the most minimal of person information, such as a photograph or a sentence, people are able to rapidly infer a multitude of complex personality traits. These social inferences are thought to rely upon cognitive representations of person...
Social networks -- Mathematical models. Social networks -- Computer simulation. Dynamics. Social sciences -- Network analysis -- Methodology.
Detecting the significance of relationships between people is a complicated and difficult task. This is especially true when these relationships are intermixed with hundreds of different mundane and ordinary interactions that are simply background...
Brain tumors account for ~2% of all cancers, with gliomas accounting for ~70% of all brain tumors. Evidence suggests that extent of resection provides both a quality of life and survival benefit to patients. Recent work has shown the utility of...
Two localized spectroscopic imaging methods were investigated to detect and discriminate microscopic pathologies at the surface of excised breast tissues in order to improve resection completeness during breast conserving surgery. A scanning in...
Form perception. ; Visual perception. ; Motion perception (Vision). ; Color vision. ; Visual cortex -- Psychophysiology.
Visual filling-in occurs when a retinally stabilized object undergoes perceptual fading. It is commonly believed that information about the apparently vanished object is lost and replaced solely by information arising from the surrounding...
Evolutionary Computation (EC) is one of the most advanced computational techniques. It has been frequently and successfully used to find good solutions to many complicated optimization problems with limited computational resources. EC is the...
Digital video -- Analysis. Forensic sciences. Image processing -- Digital techniques.
We present new forensic tools that are capable of detecting traces of tampering in digital video without the use of watermarks or specialized hardware. These tools operate under the assumption that video contain naturally occurring properties which...
Robot hands -- Design and construction. Robots -- Motion -- Mathematical models. Manipulators (Mechanism) -- Design and construction. Textile fabrics. Knots and splices. String.
Flexible objects are a challenge to manipulate. Their motions are hard to predict, and the high number of degrees of freedom makes sensing, control, and planning difficult. Additionally, they have more complex friction and contact issues than rigid...
Lungs -- Cancer -- New Hampshire. Bladder -- Cancer -- New Hampshire. Cancer -- Epidemiology. Cancer -- Environmental aspects -- New Hampshire. Cancer -- Genetic aspects
Complex diseases such as lung cancer are most commonly the result of environmental variables acting on an individual's genetic background. Those environmental variables may be found in the external environment, such as exposures to carcinogenic...
Our daily lives are pervaded by sounds, predominantly speech, music, and environmental sounds. We readily recognize and categorize such sounds. Our understanding of how the brain so effortlessly recognizes and categorizes sounds is still...