Browsing by Author "Choe, Yoonsuck"
Now showing items 101-120 of 138
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Rogers, Adam Gregory (2009-05-15)This thesis presents the results from a modification of a previously existing research project titled the Intelligent Pothole Repair Vehicle (IPRV). The direction of the research in this thesis was changed toward the ...
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Yoo, Jaewook; Kwon, Jaewook; Choe, Yoonsuck (Frontiers, 2014-06-03)Consciousness is a complex and multi-faceted phenomenon defying scientific explanation. Part of the reason why this is the case is due to its subjective nature. In our previous computational experiments, to avoid such a ...
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Hsu, Chiao-Fang (2010-07-14)Large-scale socially-generated metadata is one of the key features driving the growth and success of the emerging Social Web. Recently there have been many research efforts to study the quality of this metadata - like ...
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Zhang, Yu (Texas A&M University, 2007-04-25)Sharing common goals and acting cooperatively are critical issues in multiagent teamwork. Traditionally, agents cooperate with each other by inferring others' actions implicitly or explicitly, based on established norms ...
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He, Jun (Texas A&M University, 2006-08-16)Analog-to-digital (A/D) and digital-to-analog (D/A) converters are important blocks in signal processing system because they provide the link between the analog world and digital systems. Compared with Nyquist-rate data ...
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Ji, Kun (Texas A&M University, 2007-09-17)A control system in which sensors, actuators, and controllers are interconnected over a communication network is called a networked control system (NCS). Enhanced computational capabilities and bandwidths in the networking ...
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Zhang, Wencong (2014-09-23)Research about the microstructure of the brain provides important information to help understand the functions of the brain. In order to investigate large volume, high-resolution data of mouse brains, researchers from Brain ...
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George, Thomas (2011-02-22)Solving linear systems of equations is an integral part of most scientific simulations. In recent years, there has been a considerable interest in large scale scientific simulation of complex physical processes. Iterative ...
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Wan, Qing (2022-04-19)There are several methods in the exploration of Convolutional Neural Network’s (CNN’s) inner workings. However, in general, finding the inverse of the function performed by CNN as a whole is an ill-posed problem. We propose ...
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Yang, Huei-Fang (2012-10-19)The goal of fully decoding how the brain works requires a detailed wiring diagram of the brain network that reveals the complete connectivity matrix. Recent advances in high-throughput 3D electron microscopy (EM) image ...
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Shah, Raj Sunil (2014-12-18)The Knife-Edge Scanning Microscope (KESM) employs a novel form of physical sectioning microscopy: Imaging of tissue while sectioning. KESM was developed in the Brain Networks Lab (BNL) at Texas A&M University. The KESM has ...
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Sarma, Subramonia P. (Texas A&M University, 2004-09-30)Salient contour detection is an important lowlevel visual process in the human visual system, and has significance towards understanding higher visual and cognitive processes. Salience detection can be investigated by ...
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Bai, Yoon Ho (Texas A&M University, 2008-10-10)Texture segmentation is an effortless process in scene analysis, yet its mechanisms have not been sufficiently understood. Several theories and algorithms exist for texture discrimination based on vision. These models ...
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Rethinking Pen Input Interaction: Enabling Freehand Sketching Through Improved Primitive Recognition Paulson, Brandon C. (2011-08-08)Online sketch recognition uses machine learning and artificial intelligence techniques to interpret markings made by users via an electronic stylus or pen. The goal of sketch recognition is to understand the intention ...
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Pearce, Roger Allan (2013-12-05)Efficiently storing and processing massive graph data sets is a challenging problem as researchers seek to leverage “Big Data” to answer next-generation scientific questions. New techniques are required to process large ...
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Mann, Timothy 1984- (2012-12-05)The purpose of this dissertation is to understand how algorithms can efficiently learn to solve new tasks based on previous experience, instead of being explicitly programmed with a solution for each task that we want it ...
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Wang, Yong (2010-01-14)Today the web has become a major conduit for information. As the World Wide Web?s popularity continues to increase, information security on the web has become an increasing concern. Web information security is related to ...
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Dileepkumar, Ananth (2014-08-14)The KnifeEdge Scanning Microscope (KESM) enables imaging of an entire mouse brain at sub-micrometer resolution. The data from KESM can be used in the reconstruction of neuronal and vascular structures in the mouse brain. ...
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Raman, Baranidharan (Texas A&M University, 2007-04-25)Electronic noses combine an array of cross-selective gas sensors with a pattern recognition engine to identify odors. Pattern recognition of multivariate gas sensor response is usually performed using existing statistical ...
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Yoo, Jae Wook (2018-05-16)Learning through the sensorimotor loop is essential for intelligent agents. While the important role of sensorimotor learning has been studied, several important aspects of sensorimotor learning in the brain, such as the ...