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Creator | Title | Description | Subject | Date |
576 |
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Henderson, Thomas C. | Monte Carlo sensor networks | Biswas et al. [1] introduced a probabilistic approach to inference with limited information in sensor networks. They represented the sensor network as a Bayesian network and performed approximate inference using Markov Chain Monte Carlo (MCMC). The goal is to robustly answer queries even under no... | Monte Carlo sensor networks; Markov Chain Monte Carlo; MCMC | 2005-01-20 |
577 |
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Pascucci, Valerio | Morse theory and its application | Discussion of Morse Theory | Morse; Morse-Smale; Topology; Algorithms; Terrain; Analysis | |
578 |
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Bruderlin, Beat | Moving into higher dimensions of geometric constraint solving | In this paper, we present an approach to geometric constraint solving, based on degree of freedom analysis. Any geometric primitive (point, line, circle, plane, etc.) possesses an intrinsic degree of freedom in its embedding space which is usually two or three dimensional. Constraints reduce the deg... | Geometric constraint solving | 1994 |
579 |
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Carter, John B. | MP-LOCKs: Replacing hardware synchronization primitives with message passing | Shared memory programs guarantee the correctness of concurrent accesses to shared data using interprocessor synchronization operations. The most common synchronization operators are locks, which are traditionally implemented in user-level libraries via a mix of shared memory accesses and hardware sy... | MP-LOCKs; Message passing; Shared memory programs; Synchronization operators; Synchronization primitives | 2011-05 |
580 |
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Hansen, Charles D. | Multidimensional transfer functions for interactive volume rendering | Abstract-Most direct volume renderings produced today employ one-dimensional transfer functions which assign color and opacity to the volume based solely on the single scalar quantity which comprises the data set. Though they have not received widespread attention, multidimensional transfer function... | | 2002-07 |
581 |
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Bargteil, Adam Wade | Multiphase flow of immiscible fluids on unstructured moving meshes | In this paper, we present a method for animating multiphase flow of immiscible fluids using unstructured moving meshes. Our underlying discretization is an unstructured tetrahedral mesh, the deformable simplicial complex (DSC), that moves with the flow in a Lagrangian manner. Mesh optimization opera... | | 2014-01-01 |
582 |
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Venkatasubramanian, Suresh | Multiple target tracking with RF sensor networks | RF sensor networks are wireless networks that can localize and track people (or targets) without needing them to carry or wear any electronic device. They use the change in the received signal strength (RSS) of the links due to the movements of people to infer their locations. In this paper, we cons... | | 2014-01-01 |
583 |
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Henderson, Thomas C. | Multisensor knowledge systems | We describe an approach which facilitates and makes explicit the organization of the knowledge necessary to map multisensor system requirements onto an appropriate assembly of algorithms, processors, sensors, and actuators. We have previously introduced the Multisensor Kernel System and Logical Sen... | Multisensors; Multisensor Kernel System; Multisensor systems | 1986 |
584 |
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Henderson, Thomas C. | Multisensor knowledge systems: interpreting 3-D structure | We describe an approach which facilitates and makes explicit the organization of the knowledge necessary to map multisensor system requirements onto an appropriate assembly of algorithms, processors, sensors, and actuators. We have previously introduced the Multisensor Kernel System and Logical Sens... | Multisensors; Knowledge systems; 3-D structure; Logical Sensors | 1987 |
585 |
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Henderson, Thomas C. | Multisensor methods to estimate thermal diffusivity | Several methods for the estimation of thermal diffusivity are studied in this work. In many application scenarios, the thermal diffusivity is unknown and must be estimated in order to perform other estimation functions (e.g., tracking of the physical phenomenon, or solving other inverse problems lik... | | 2012-01-01 |
586 |
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Pascucci, Valerio | Multivariate volume visualization through dynamic projections | We propose a multivariate volume visualization framework that tightly couples dynamic projections with a high-dimensional transfer function design for interactive volume visualization. We assume that the complex, high-dimensional data in the attribute space can be well-represented through a collecti... | | 2014-01-01 |
587 |
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Pascucci, Valerio | The natural Helmholtz-Hodge decomposition for open-boundary flow analysis | The Helmholtz-Hodge decomposition (HHD), which describes a flow as the sum of an incompressible, an irrotational, and a harmonic flow, is a fundamental tool for simulation and analysis. Unfortunately, for bounded domains, the HHD is not uniquely defined, traditionally, boundary conditions are impose... | | 2014-01-01 |
588 |
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Shirley, Peter S. | Natural image statistics for computer graphics | The class of all natural images is an infinitely small fraction of all possible images. The structure of natural images can be statistically modeled, revealing striking regularities. The human visual system appears to be optimized to view natural images, as opposed to any possible image, and therefo... | Natural image | 2001 |
589 |
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Balasubramonian, Rajeev | NDC: Analyzing the impact of 3D-stacked memory+logic devices on MapReduce workloads | While Processing-in-Memory has been investigated for decades, it has not been embraced commercially. A number of emerging technologies have renewed interest in this topic. In particular, the emergence of 3D stacking and the imminent release of Micron's Hybrid Memory Cube device have made it more pra... | | 2014-01-01 |
590 |
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Yang, Yue; Gopalakrishnan, Ganesh; Lindstrom, Gary E.; Slind, Konrad Lee | Nemos: a framework for axiomatic and executable specifications of memory consistency models | Conforming to the underlying memory consistency rules is a fundamental require- ment for implementing shared memory systems and writing multiprocessor programs. In order to promote understanding and enable automated verification, it is highly desir- able that a memory model specification be both ... | Nemos; Shared memory systems | 2003 |
591 |
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Shirley, Peter S.; Thompson, William B. | Night rendering | The issues of realistically rendering naturally illuminated scenes at night are examined. This requires accurate models for moonlight, night skylight, and starlight. In addition, several issues in tone reproduction are discussed: eliminatiing high frequency information invisible to scotopic (night v... | Night rendering; Low light -- Computer models | 2000 |
592 |
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Boll, Steven F. | Noise suppression methods for robust speech processing (1 April 1979- 30 Sept. 1979) | Robust speech processing in practical operating environments requires effective environmental and processor noise suppression. This report describes the technical findings and accomplishments during this reporting period for the research program funded to develop real-time, compressed speech analysi... | Noise suppression; Signal contamination; Compressed speech analysis-synthesis algorithms | 1979 |
593 |
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Boll, Steven F. | Noise suppression methods for robust speech processing (1 Oct. 1976 - 31 March 1977) | To develop robust speech processes, based upon the integration of digital noise suppression methods and narrow band speech analysis-synthesis methods, capable of realizing practical, real time methods for effectively processing speech recorded in practical operating environments. | Digital noise suppression | 1977 |
594 |
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Boll, Steven F.; Timothy, LaMar K. | Noise suppression methods for robust speech processing (1 Oct. 1978- 31 Mar. 1979) | Robust speech processing in practical operating environments requires effective environmental and processor noise suppression. This report describes the technical findings and accomplishments during this reporting period for the research program funded to develop real time, compressed speech analysi... | Noise suppression; Signal contamination; Compressed speech analysis-synthesis algorithms | 1979 |
595 |
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Boll, Steven F.; Done, William John | Noise suppression methods for robust speech processing (1 Oct. 1978- 31 Mar. 1981) | Robust speech processing in practical operating environments requires effective environmental and processor noise suppression. This report describes the technical findings and accomplishments during this reporting period for period for research program funded to develop real time, compressed speech ... | Noise suppression; Compressed speech analysis-synthesis algorithms; Signal contamination | 1978 |
596 |
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Boll, Steven F. | Noise suppression methods for robust speech processing (1 Oct. 1979- 31 Mar. 1980) | Robust speech processing in practical operating environments requires effective environmental and processor noise suppression. This report describes the technical findings and accomplishments during this reporting period for the research program funded to develop real time, compressed speech analysi... | Noise suppression; Compressed speech analysis-synthesis algorithms; Signal contamination | 1980 |
597 |
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Hansen, Charles D. | Non-photorealistic volume rendering using stippling techniques | Simulating hand-drawn illustration techniques can succinctly express information in a manner that is communicative and informative. We present a framework for an interactive direct volume illustration system that simulates traditional stipple drawing. By combining the principles of artistic and sci... | Volume rendering; Non-photorealistic rendering; Scientific visualization; Medical imaging | 2002 |
598 |
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Balasubramonian, Rajeev | Non-uniform power access in large caches with low-swing wires | Modern processors dedicate more than half their chip area to large L2 and L3 caches and these caches contribute significantly to the total processor power. A large cache is typically split into multiple banks and these banks are either connected through a bus (uniform cache access - UCA) or an on-c... | Large caches; Low-swing wires; Non Uniform Cache Access; NUCA | 2009 |
599 |
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Awate, Suyash P.; Whitaker, Ross T. | Nonparametric neighborhood statistics for MRI denoising | This paper presents a novel method for denoising MR images that relies on an optimal estimation, combining a likelihood model with an adaptive image prior. The method models images as random fields and exploits the properties of independent Rician noise to learn the higher-order statistics of ima... | MRI denoising | 2005-04-18 |
600 |
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Awate, Suyash P.; Tasdizen, Tolga; Whitaker, Ross T. | Nonparametric statistics of image neighborhoods for unsupervised texture segmentation | In this paper, we present a novel approach to unsupervised texture segmentation that is based on a very general statistical model of image neighborhoods. We treat image neighborhoods as samples from an underlying, high-dimensional probability density function (PDF). We obtain an optimal segmentat... | | 2005-04-19 |