Results 11 to 20 of about 4,122,016 (301)
Randomized outlier detection with trees [PDF]
International Journal of Data Science and Analytics, 2020 AbstractIsolation forest (IF) is a popular outlier detection algorithm that isolates outlier observations from regular observations by building multiple random isolation trees. The average number of comparisons required to isolate a given observation can then be used as a measure of its outlierness.
Sebastian Buschjäger +2 more
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Distributed Detection in Tree Topologies With Byzantines [PDF]
IEEE Transactions on Signal Processing, 2014 In this paper, we consider the problem of distributed detection in tree topologies in the presence of Byzantines. The expression for minimum attacking power required by the Byzantines to blind the fusion center (FC) is obtained. More specifically, we show that when more than a certain fraction of individual node decisions are falsified, the decision ...
Bhavya Kailkhura +3 more
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Cycle detection in computation tree logic [PDF]
Information and Computation, 2016 Temporal logic is a very powerful formalism deeply investigated and used in formal system design and verification. Its application usually reduces to solving specific decision problems such as model checking and satisfiability. In these kind of problems, the solution often requires detecting some specific properties over cycles.
Gaëlle Fontaine +4 more
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Online Anomaly Detection With Nested Trees [PDF]
IEEE Signal Processing Letters, 2016 We introduce an online anomaly detection algorithm that processes data in a sequential manner. At each time, the algorithm makes a new observation, produces a decision, and then adaptively updates all its parameters to enhance its performance. The algorithm mainly works in an unsupervised manner since in most real-life applications labeling the data is
Ibrahim Delibalta +4 more
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Robust Tree-Ring Detection [PDF]
, 2007 The study of tree-rings is a common task in dendrology. Usually the rings deliver information about the age of the tree, historic climate conditions and forest densities. Many different techniques exist to perform the tree-ring detection, but they commonly are semi-automatic.
Mauricio Cerda +2 more
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Tree detection from aerial imagery [PDF]
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2009 We propose an automatic approach to tree detection from aerial imagery. First a pixel-level classifier is trained to assign a {tree, non-tree} label to each pixel in an aerial image. The pixel-level classification is then refined by a partitioning algorithm to a clean image segmentation of tree and non-tree regions.
Lin Yang +3 more
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Simple and flexible detection of contiguous repeats using a suffix tree [PDF]
, 2002 Stoye J, Gusfield D. Simple and flexible detection of contiguous repeats using a suffix tree. Theoretical Computer Science. 2002;270(1-2):843-856.We study the problem of detecting all occurrences of (primitive) tandem repeats and tandem arrays in a ...
Jens Stoye +4 more
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Detecting recombination from gene trees [PDF]
Molecular Biology and Evolution, 1998 In this article, a method is proposed for detecting recombination in the sequences of a gene from a set of closely related organisms. The method, the Homoplasy Test, is appropriate when the sequences are rather similar, differing by 1%-5% of nucleotides.
J, Maynard Smith, N H, Smith
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Remote Sensing, 2023 Precise tree inventory plays a critical role in sustainable forest planting, restoration, and management. LiDAR-based individual tree detection algorithms often focus on finding individual treetops to discern tree positions.
Gang Shao, Songlin Fei, Guofan Shao
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Remote Sensing, 2015 Managers of forested water supply catchments require efficient and accurate methods to quantify changes in forest water use due to changes in forest structure and density after disturbance. Using Light Detection and Ranging (LiDAR) data with as few as 0.
Dominik Jaskierniak +3 more
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