Institution
Australian National University
Education•Canberra, Australian Capital Territory, Australia•
About: Australian National University is a education organization based out in Canberra, Australian Capital Territory, Australia. It is known for research contribution in the topics: Population & Galaxy. The organization has 34419 authors who have published 109261 publications receiving 4315448 citations. The organization is also known as: The Australian National University & ANU.
Topics: Population, Galaxy, Stars, Zircon, Politics
Papers published on a yearly basis
Papers
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TL;DR: In this article, the authors focus on multiclass segmentation and detailed descriptions as to why a specific method may fail together with strategies for preventing the failure by applying suitable image enhancement prior to segmentation.
Abstract: Easier access to X-ray microtomography (μCT) facilities has provided much new insight from high-resolution imaging for various problems in porous media research. Pore space analysis with respect to functional properties usually requires segmentation of the intensity data into different classes. Image segmentation is a nontrivial problem that may have a profound impact on all subsequent image analyses. This review deals with two issues that are neglected in most of the recent studies on image segmentation: (i) focus on multiclass segmentation and (ii) detailed descriptions as to why a specific method may fail together with strategies for preventing the failure by applying suitable image enhancement prior to segmentation. In this way, the presented algorithms become very robust and are less prone to operator bias. Three different test images are examined: a synthetic image with ground-truth information, a synchrotron image of precision beads with three different fluids residing in the pore space, and a μCT image of a soil sample containing macropores, rocks, organic matter, and the soil matrix. Image blur is identified as the major cause for poor segmentation results. Other impairments of the raw data like noise, ring artifacts, and intensity variation can be removed with current image enhancement methods. Bayesian Markov random field segmentation, watershed segmentation, and converging active contours are well suited for multiclass segmentation, yet with different success to correct for partial volume effects and conserve small image features simultaneously.
475 citations
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TL;DR: Martingale theory is used to obtain a central limit theorem for degenerate U-statistics with variable kernels, which is applied to derive central limit theorems for the integrated square error of multivariate nonparametric density estimators.
474 citations
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06 Nov 2011TL;DR: A simple modification to localize the soft-assignment coding is proposed, which surprisingly achieves comparable or even better performance than existing sparse or local coding schemes while maintaining its computational advantage.
Abstract: In object recognition, soft-assignment coding enjoys computational efficiency and conceptual simplicity. However, its classification performance is inferior to the newly developed sparse or local coding schemes. It would be highly desirable if its classification performance could become comparable to the state-of-the-art, leading to a coding scheme which perfectly combines computational efficiency and classification performance. To achieve this, we revisit soft-assignment coding from two key aspects: classification performance and probabilistic interpretation. For the first aspect, we argue that the inferiority of soft-assignment coding is due to its neglect of the underlying manifold structure of local features. To remedy this, we propose a simple modification to localize the soft-assignment coding, which surprisingly achieves comparable or even better performance than existing sparse or local coding schemes while maintaining its computational advantage. For the second aspect, based on our probabilistic interpretation of the soft-assignment coding, we give a probabilistic explanation to the magic max-pooling operation, which has successfully been used by sparse or local coding schemes but still poorly understood. This probability explanation motivates us to develop a new mix-order max-pooling operation which further improves the classification performance of the proposed coding scheme. As experimentally demonstrated, the localized soft-assignment coding achieves the state-of-the-art classification performance with the highest computational efficiency among the existing coding schemes.
474 citations
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TL;DR: An independent dating of a continuous, high-resolution sea-level record in millennial-scale detail throughout the past 150,000 years is presented and it is found that the timing of ice-volume fluctuations agrees well with that of variations in Antarctic climate and especially Greenland climate.
Abstract: A new approach to dating a continuous sea-level record, using speleothem U–Th ages, shows that past variations in global ice volume occurred within centuries of polar climate change, with rates of sea-level rise reaching at least 1 metre per century.
473 citations
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TL;DR: Tan et al. as discussed by the authors fit the experimental shear modulus and attenuation data to a common model that provides an internally consistent description of the observed variations with frequency, temperature and grain size.
473 citations
Authors
Showing all 34925 results
Name | H-index | Papers | Citations |
---|---|---|---|
Cyrus Cooper | 204 | 1869 | 206782 |
Nicholas G. Martin | 192 | 1770 | 161952 |
David R. Williams | 178 | 2034 | 138789 |
Krzysztof Matyjaszewski | 169 | 1431 | 128585 |
Anton M. Koekemoer | 168 | 1127 | 106796 |
Robert G. Webster | 158 | 843 | 90776 |
Ashok Kumar | 151 | 5654 | 164086 |
Andrew White | 149 | 1494 | 113874 |
Bernhard Schölkopf | 148 | 1092 | 149492 |
Paul Mitchell | 146 | 1378 | 95659 |
Liming Dai | 141 | 781 | 82937 |
Thomas J. Smith | 140 | 1775 | 113919 |
Michael J. Keating | 140 | 1169 | 76353 |
Joss Bland-Hawthorn | 136 | 1114 | 77593 |
Harold A. Mooney | 135 | 450 | 100404 |