Results 31 to 40 of about 868,109 (319)
Finding maximally disconnected subnetworks with shortest path tractography
NeuroImage: Clinical, 2019 Connectome-based lesion symptom mapping (CLSM) can be used to relate disruptions of brain network connectivity with clinical measures. We present a novel method that extends current CLSM approaches by introducing a fast reliable and accurate way for ...
Clint Greene +6 more
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Dimension Is Compression [PDF]
Theory of Computing Systems, 2005 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
María López-Valdés, Elvira Mayordomo
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On the Perceptron’s Compression [PDF]
, 2020 We study and provide exposition to several phenomena that are related to the perceptron's compression. One theme concerns modifications of the perceptron algorithm that yield better guarantees on the margin of the hyperplane it outputs. These modifications can be useful in training neural networks as well, and we demonstrate them with some experimental
Moran, Shay +3 more
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Geosciences, 2023 In this paper, the Hellenic orogenic belt’s main geological structure and architecture of deformation are presented in an attempt to achive a better interpretation of its geotectonic evolution during Alpine orogeny.
Adamantios Kilias
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Hardware architecture for lossless image compression based on context-based modeling and arithmetic coding [PDF]
, 2007 In this paper we present a novel hardware architecture for context-based statistical lossless image compression, as part of a dynamically reconfigurable architecture for universal lossless compression.
Vitulli, Raffaele +3 more
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Compression2: compressed sensing with compressed coil arrays [PDF]
Journal of Cardiovascular Magnetic Resonance, 2012 Summary Compressed sensing with PCA based coil compression is a promising way to obtain high quality radial perfusion images without incurring the high computation cost and memory requirements associated with large multi-coil arrays Background Imaging with large coil arrays is desirable for rapid imaging and high signal to noise ratio.
Adluru Ganesh, DiBella Edward
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Remote Multilinear Compressive Learning With Adaptive Compression [PDF]
IEEE Internet of Things Journal, 2022 Multilinear Compressive Learning (MCL) is an efficient signal acquisition and learning paradigm for multidimensional signals. The level of signal compression affects the detection or classification performance of a MCL model, with higher compression rates often associated with lower inference accuracy.
Dat Thanh Tran +2 more
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The impact of chest compression rates on quality of chest compressions : a manikin study [PDF]
, 2011 Purpose Chest compressions are often performed at a variable rate during cardiopulmonary resuscitation (CPR). The effect of compression rate on other chest compression quality variables (compression depth, duty-cycle, leaning, performance decay over ...
Field, Richard A. +17 more
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Time to Compress the Time to First Compression [PDF]
Journal of the American Heart Association, 2018 Out‐of‐hospital cardiac arrest (OHCA), often described as the most time‐sensitive and life‐threatening medical condition, remains a major public health problem.[1][1] Survival remains low in most settings, with enormous variation in community outcomes.[2][2] Although several ...
Bentley J. Bobrow, Micah Panczyk
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Advances and controversies in the contemporary management of chronic lymphedema
Indian Journal of Vascular and Endovascular Surgery, 2018 The lymphatic system is essential for normal body function, as its role is to recover fluid passed to the interstitial tissue from capillaries and to carry it back to the systemic circulation.
Monika Lecomte Gloviczki +1 more
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