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Showing 1 to 20 of 35 for “"connected component"”.
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Significance-linked connected component analysis+ for wavelet image coding
… AT AUTHOR'S REQUEST.] The Significance-Linked Connected Component Analysis+ (SLCCA+) is a efficient wavelet image coding algorithm that extends SLCCA by using new data organization and representation (DOR) and SLCCA+ use a definition of context model for the adaptive arithmetic coding. …
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Studying the Space of Almost Complex Structures on a Manifold Using de Rham Homotopy Theory
… invariant (the de Rham homotopy type) for each connected component of the space of cross-sections of certain fibrations. We then apply this result to differential geometry and prove a finiteness theorem of the de Rham homotopy type for each connected component of the space of almost complex …
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Properties of link reversal algorithms for routing and leader election
… if topology changes cease, then eventually every connected component contains a unique leader and all nodes have directed paths to that leader. Our contribution includes a complexity analysis of the algorithm showing that after topology changes stop, no more than 0(n) elections occur in the …
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An analysis of conjunctive-goal planning
… Each subgraph is composed of one or more connected components. Solving each sub-goal by choosing a connected component that contains a final goal state is a necessary and sufficient condition for solving any planning problem. In the worst case, analyzing goal interactions is shown to be no …
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Análise de grafos de textos literários: investigação de traços psicóticos
… of psychotic speech symptoms, marked by poor, disconnected and repetitive speech. Based on a literal reevaluation of ancient texts, Julian Jaynes proposed that psychosis was socially prevalent until around 1,000 BC (Jaynes, 1976). This conjecture was corroborated for the first time by Diuk et al. …
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Optimisation techniques for finding connected components in large graphs using GraphX
The problem of finding connected components in undirected graphs has been well studied. It is an essential pre-processing step to many graph computations, and a fundamental task in graph analytics applications, such as social network analysis, web graph mining and image processing. Recently, it has …
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FPGA Implementation of Blob Recognition
… this work comes up with a new method called Dual Connected Component Labelling (DCCL) suitable for FPGA implementation.
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Webpage rank using Bayes' rule and connected components
… first decomposes the webgraph into mutually disconnected sub-webgraphs, each called a connected component (CC) or simply a block. A Bayes' theorem based block-wise local PageRank computation and weighting scheme are then used to compute the final ranking vector of CCRank, which approximates the …
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Robust Event Detection and Retrieval in Surveillance Video
… background modeling and foreground detection; a connected component labeling algorithm is then employed to label the foreground pixels. A Kalman filter approach is used to build models for the entities of interest (people and bags), which is combined with color histograms for tracking. We use …
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Efficiently Learning Monotone Decision Trees with ID3
… functions as graphs and examined each type of connected component contained in these models, i.e. path graphs and cycle graphs. I determined the influence of the variables in the pieces of these graph models in order to understand how ID3 behaves when learning these functions. My findings show …
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Region detection and labeling of images in real-time using an FPGA-based custom computing platform
Region detection can be defined as identifying connected components in an image. Connected component labelling is an important part of performing feature extraction. Industrial applications performing online image analysis may require a real-time implementation of a region labelling algorithm …
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Plectic arithmetic of Hilbert modular varieties
… actions on the set of CM points, on the set of connected components, and on the set of cocharacters of Shimura varieties that differ in the centre from the Hilbert modular variety. By allowing the centre to vary, we extend the plectic framework of Nekovář--Scholl to include such Shimura …
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Contour Encoded Compression and Transmission
… wide variety of shapes, fitting Bezier curves to connected component contours can provide better compression than current glyph library or other codebook compression methods. In addition to better compression, the CECAT system divides the image into layers and tiles that can be used as a …
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Characterizing the Movement of Contaminant Liquid Metal Particles when subject to Electric Pulses, within the Context of Z-pinch Fusion Reactors
… automated particle tracking algorithms with connected-component labeling and two-point correlation functions to monitor ejecta trajectories. Results reveal an average ejected particle velocity of 2.54 m/s (±3.58 m/s), with particle formation likelihood peaking at velocities around 1.14 m/s. …
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Fall detection system using low cost computing and online communication
… from the hardware support system, and uses a connected component algorithm to discover the simultaneous activation of group of contiguous sensors during a fall. In addition to the fall detection, the floor sensor data was stored on the Sheevaplug server and then communicated to the remote …
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Offline and Online Interactive Frameworks for MRI and CT Image Analysis in the Healthcare Domain : The Case of COVID-19, Brain Tumors and Pancreatic Tumors
… models, graph models, region-based analysis, connected component analysis, machine learning models, and recent deep learning models are used. The following problems for medical images : abnormality detection, abnormal region segmentation, interactive user interface to represent the results of …
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Generic FPGA Preprocessing for Astrophysics Instruments in HLS
… so, we also present a novel HLS-based two-pass connected-component labeling (CCL) implementation that can be easily switched between 4-way and 8-way CCL.</p>
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Detection and Recognition of U.S. Speed Signs from Grayscale Images for Intelligent Vehicles
… in the input image. We have utilized the idea of connected component labeling technique and adapted it for the grayscale images, to divide the input image into a set of regions. The recognition phase calculates the invariant features of the inner parts of the detected regions using Hu’s moments. …
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High Performance Issues on Parallel Architectures
… bipartiteness, fundamental cycles, bridges and biconnected components. Other optimal algorithms for the more complex least common ancestor and the connected component problems are also presented. By design, all algorithms maintain optimality for very large sparse graphs. We further examine the …
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Hyperdefinable groups and modularity
… is a 1-dimensional, definably compact, definably connected, definable group in a saturated real closed field M, with respect to a notion called 1-basedness. In particular G will be one of the following: 1. ([-1,1),+ mod 2) 2. ([1/b,b),*mod b^2 3. (SO_2(M)*) and truncations 4. (E(M)^0,+) and …
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