Results 261 to 270 of about 4,122,016 (301)

DECISION TREES FOR PERNICIOUS PAGES DETECTION

International Journal on Artificial Intelligence Tools, 2003
An application framework to perform web usage analysis using advanced data mining methodology is presented. The investigation proposes decision trees for web user behavior analysis. This includes prediction of user future actions and the typical pages leading to browsing termination.
Zidrina Pabarskaite, James Allen Long
openaire   +2 more sources

Detection of Decay in Trees

Arboriculture & Urban Forestry, 1979
New ideas and new tools give the arborist new opportunities to better assess the hazard potential of decayed trees. Before using electronics to help detect decay in trees, today's arborist must first train the "mind's eye" to "see" inside the living tree.
openaire   +1 more source

Tree pruning strategy in automated detection of coronary trees in cineangiograms

Proceedings., International Conference on Image Processing, 2002
The authors present a tree pruning strategy used in their novel approach to automated detection of coronary trees in cineangiograms. After the initial steps of the authors' tree detection method, the preliminary tree contains a large number of false branches that must be removed by pruning. The tree pruning approach is based on information about branch
Xiangmin Zhang, Steve M. Collins, Milan Sonka   +2 more
openaire   +1 more source

Fruit detection with binary partition trees

2016 24th Signal Processing and Communication Application Conference (SIU), 2016
In this study, binary partition trees are applied to the problem of fruit detection. The fact that binary partition trees are inherently unbiased and independent of flatzones is the main reason for this application. Using only circularity from the shape priors, this system is put to test with 39 images of three classes of fruits and the test results ...
Murat Can Ozdemir, Erchan Aptoula, Berrin A. Yanikoglu   +2 more
openaire   +2 more sources

Tracker trees for unusual event detection

2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops, 2009
We present an approach for unusual event detection, based on a tree of trackers. At lower levels, the trackers are trained on broad classes of targets. At higher levels, they aim at more specific targets. For instance, at the root, a general blob tracker could operate which may track any object.
Fabian Nater, Helmut Grabner, Tobias Jaeggli, Luc Van Gool   +3 more
openaire   +2 more sources

A Tree Kernel based approach for clone detection

2010 IEEE International Conference on Software Maintenance, 2010
Reusing software by copying and pasting is a common practice in software development. This phenomenon is widely known as code cloning. Problems with clones are mainly due to the need of managing each duplication, thus increasing the effort to maintain software systems.
Anna Corazza, Sergio Di Martino, Valerio Maggio, Giuseppe Scanniello   +3 more
openaire   +4 more sources

Tree detection in LiDAR data

2006 IEEE Southwest Symposium on Image Analysis and Interpretation, 2006
In this paper, we present an approach to detecting trees in registered aerial image and range data obtained via LiDAR. The motivation for this problem comes from automated 3D city modeling, in which such data is used to generate the models. Representing the trees in these models is problematic because the data are usually too sparsely sampled in tree ...
J. Secord, A. Zakhor
openaire   +1 more source

Decision tree for corner detection

2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES), 2015
Corner detection is a important task in low level vision. Detecting corners helps one to establish similarity between two or more images. Traditional approaches for corner detection involve finding significant variation around a pixel neighbourhood in two different directions.
Dipen Somani, Shanmuganathan Raman
openaire   +1 more source

Intelligent Object Detection Using Trees

2015
In this paper a method is proposed for detection and localisation of objects in images using connected operators. Existing methods typically use a moving window to detect objects, which means that an image needs to be scanned at each pixel location for each possible scale and orientation of the object of interest which makes such methods ...
openaire   +2 more sources

Enhanced Tree-Based Anomaly Detection

2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2022
Pawel Karczmarek, Lukasz Galka, Michal Dolecki, Witold Pedrycz, Dariusz Czerwinski, Adam Kiersztyn, Rafal Stegierski   +6 more
openaire   +1 more source