Results 271 to 280 of about 2,898,059 (299)
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A Fast Algorithm to Map Functions Forward
Multidimensional Systems and Signal Processing, 1997zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Fast mapping by bilingual preschool children
Journal of Child Language, 2008ABSTRACTPrevious studies show that young monolingual children's ability to ‘fast map’ new word forms is closely associated with both their age and existing vocabulary knowledge. In this study we investigate potential relationships between age, fast mapping skills and existing vocabulary knowledge in both languages of developing bilingual preschool ...
Pui Fong, Kan, Kathryn, Kohnert
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A novel fast T1‐mapping method
Journal of Magnetic Resonance Imaging, 1994AbstractThe authors present a novel fast T1‐mapping technique that allows a T1 map to be reconstructed from data acquired in less than 3 seconds. Data were acquired by using two modified TurboFLASH (fast low‐angle shot) sequences and were processed with a combination of one‐dimensional Fourier transforms and a parameter‐fitting routine, instead of a ...
C Y, Tong, F S, Prato
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Fast target object map handover
IEEE Transactions on Aerospace and Electronic Systems, 2015Target object map (TOM) handover is the process of correlating 3-D tracks to 2-D sensor tracks on an interceptor with biases that are larger than the 2D separation of the targets. This paper presents a method to perform the bias estimation/track-to-track association with an algorithm that only increases with the square of the number of tracks over ...
J. A. Roecker, E. M. Nguyen
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Abstract This chapter asks whether the initial stages of word learning happen slowly, through gradual associations between pronunciations and possible meanings, or rapidly, through single-hypothesis testing. It argues that, contra the default intuition (among laypeople and cognitive scientists alike), word learning consists more of ...
Jeffrey Lidz, Tyler Knowlton
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Jeffrey Lidz, Tyler Knowlton
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Fast Optimal Labelings for Rotating Maps
2017We study a dynamic labeling problem on rotating maps, i.e., maps that allow for continuous rotations. As the map is rotated, labels must remain horizontally aligned. Rotations may cause labels that were previously disjoint to overlap. For each label, we must determine a set of active ranges (i.e., angular ranges during which the label is visible) such ...
Rafael G. Cano +2 more
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Index mappings for the fast Fourier transform
IEEE Transactions on Signal Processing, 1996General analysis shows which linear index maps for the multidimensional PFA avoid twiddle factors. For any input map of this class, there is a unique output map which omits twiddle factors and modifications of the underlying DFT subblocks. With subblock modifications, all factorizations can be done in-place and in-order.
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Continuous Occupancy Map Fusion with Fast Bayesian Hilbert Maps
2019 International Conference on Robotics and Automation (ICRA), 2019Mapping the occupancy of an environment is central for robot autonomy. Traditional occupancy grid maps discretise the environment into independent cells, neglecting important spatial correlations, and are unable to capture the continuous nature of the real world.
Weiming Zhi +3 more
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Probabilistic map fusion for fast, incremental occupancy mapping with 3D Hilbert maps
2016 IEEE International Conference on Robotics and Automation (ICRA), 2016We present a novel formulation of Hilbert mapping in which we construct a global occupancy map by incrementally fusing local overlapping Hilbert maps. Rather than maintain a single supervised learning model for the entire map, a new model is trained with each of a robot's range scans, and queried at all points within the robot's perceptual field.
Kevin J. Doherty 0001 +2 more
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Combining Grid Mapping with local map descriptor for fast succinct map retrieval
2016 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2016Map retrieval, the problem of similarity search among a large collection of 2D pointset maps previously built by mobile robots, is crucial for autonomous navigation in both indoor and outdoor environments. Unlike previous Bag-of-words scene model which lacks spatial layout information, we exploit a holistic local map descriptor which is view ...
Enfu Liu, Tanaka Kanji 0003
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