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Manipulating Trees with Hidden Labels
[chapter]
2003
Lecture Notes in Computer Science
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We study these issues in the context of a simplified data model: simple labeled trees with hidden labels, and programs that manipulate such trees. The edges of such trees are labeled with names. ...
Data manipulation is based on pattern matching, with types that track the use of hidden labels. ...
Gabbay for illuminating discussions on transpositions, and to Luís Caires who indirectly influenced this paper through earlier work with the first author. ...
doi:10.1007/3-540-36576-1_14
fatcat:fnwvlvldc5fvlgeily2vdstlae
Manipulating Trees with Hidden Labels
2007
Electronical Notes in Theoretical Computer Science
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We study these issues in the context of a simplified data model: simple labeled trees with hidden labels, and programs that manipulate such trees. The edges of such trees are labeled with names. ...
Data manipulation is based on pattern matching, with types that track the use of hidden labels. ...
Gabbay for illuminating discussions on transpositions, and to Luís Caires who indirectly influenced this paper through earlier work with the first author. ...
doi:10.1016/j.entcs.2007.02.007
fatcat:hwxttro3rrhk5ivoyda6qhhjbm
Building Ensembles of Neural Networks with Class-Switching
[chapter]
2006
Lecture Notes in Computer Science
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The perturbation consists in switching the class labels of a subset of training examples selected at random. ...
In particular, networks with 28 hidden units, trained over 1000 epochs are used. ...
The base classifiers are feedforward neural networks with one hidden layer. Sigmoidal transfer functions for both the hidden and output layers are used. ...
doi:10.1007/11840817_19
fatcat:rpxcmtuf5bfklj5fcpldqbhwiq
Enforcing Policies in Content Manipulation Signature Schemes
2006
International Journal of Network Security
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We propose a generalization of Merkle trees, so called Relaxed Merkle trees. ...
Most of the constructions are based on Merkle trees. ...
A Merkle Tree is a complete binary tree of height h with nodes labelled by binary strings. The label assigned to node v w is denoted by V(v w ). ...
dblp:journals/ijnsec/Stanek06
fatcat:zwzgvsqmsvdorisjr72gq4dpne
Visualizing large hierarchical clusters in hyperbolic space
2000
Bioinformatics
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HyperTree is an application to visualize and navigate large trees in hyperbolic space. ...
It includes colorcoding, search mechanisms and navigational aids, as well as focus+context viewing, allowing enormous trees to fit within the fixed space of a computer screen or printed page. ...
Labels can be edited, rendered in any native font, and hidden if they prove too cluttered or distracting. Even when hidden, labels appear on mouse-over. Searching. ...
doi:10.1093/bioinformatics/16.7.660
pmid:11038340
fatcat:xtbdd3zvbbcrfkjpuso4m2e3ke
Understanding Contexts Inside Robot and Human Manipulation Tasks through a Vision-Language Model and Ontology System in a Video Stream
[article]
2020
arXiv
pre-print
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Our scheme works with real-world camera streams and fuses an attention-based Vision-Language model with the ontology system. ...
Manipulation tasks in daily life, such as pouring water, unfold intentionally under specialized manipulation contexts. ...
Ontology Tree Labeled Directed Graph: CentricMug Query Fig. 4 . From ontology system to object taxonomy. ...
arXiv:2003.01163v1
fatcat:liybqkazzvdo7itgy6b55qhvvu
Adaptive Threshold Displacement algorithm for removing hidden information from digital images
2013
2013 IEEE Global Communications Conference (GLOBECOM)
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The presented results show that virtually all of the hidden information is destroyed by our proposed ATD algorithm, with a retrieval BER of over 40% in average. ...
For evaluating the effectiveness of our proposed algorithm, we apply ATD to different images that contain hidden information, embedded using two different widely used steganography techniques. ...
We employ these manipulations against the same image test set containing hidden information embedded utilizing wavelet tree quantization and histogram-based algorithms. ...
doi:10.1109/glocom.2013.6831143
dblp:conf/globecom/RezaeiHMSPS13
fatcat:ufp3y22gwfb73jyqxtmn6vokc4
Geometric modeling using octree encoding
1982
Computer Graphics and Image Processing
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hidden surfaces removed. ...
Real time analysis and manipulation of highly complex situations thus becomes possible. ...
Conveniently, this is the normal result of tree manipulation operations. Boolean operations are straightforward tree traversal algorithms. ...
doi:10.1016/0146-664x(82)90104-6
fatcat:afy6vckkjncf3bgkjjyabhoraq
Geometric modeling using octree encoding
1982
Computer Graphics and Image Processing
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hidden surfaces removed. ...
Real time analysis and manipulation of highly complex situations thus becomes possible. ...
Conveniently, this is the normal result of tree manipulation operations. Boolean operations are straightforward tree traversal algorithms. ...
doi:10.1016/0146-664x(82)90128-9
fatcat:6q2zs2zna5cqbalclbv6a7y2oy
Encoding Labeled Graphs by Labeling RAAM
1993
Neural Information Processing Systems
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Direct access by content can be achieved by transforming the encoder network of the LRAAM into an analog Hopfield network with hidden units. ...
This extension, the Labeling RAAM (LRAAM), can encode labeled graphs with cycles by representing pointers explicitly. Data encoded in an LRAAM can be accessed by pointer as well as by content. ...
It can be considered as an extension of the RAAM model, which allows one to encode not only trees with information on the leaves, but also labeled graphs with cycles. ...
dblp:conf/nips/Sperduti93
fatcat:ojjg5p5x7jhnxgp53mecwke7fy
Analyzing Probability Vectors for Named Entity Statistical Machine Transliteration
2012
International Journal of Computer Applications
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Currently, basic Markov Chain Model (MM), Extended Markov Chain (EMC), Hidden Markov Model (HMM), Conditional Random Fields (CRF), Decision Tree (DT), Maximum Entropy Markov Model (MEMM) and Support Vector ...
Decision tree should be used along with probability models where decisions are to be taken runtime with no recall under incomplete knowledge. ...
In decision tree approach a tree like model of decisions is used along with their possible outcomes. These possible outcomes could be chance event outcomes, resource costs, and utility. ...
doi:10.5120/8791-2776
fatcat:y3bz45jmbzejrpocuymqqe6ium
Recognition of Manipulation Sequences by Human Hand Based on Support Vector Machine
2007
IECON 2007 - 33rd Annual Conference of the IEEE Industrial Electronics Society
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The binary decision tree constructed by our method has been evaluated through experiments of recognizing the task states during a valve manipulation. ...
We define several task states which are segmented from the continuous motion of human fingers in the context of an object manipulation. ...
The decision node of the tree is labeled by SV M (U 1 max, U 2 max). Two terminal nodes of the tree are labeled by U 1 max and U 2 max respectively. (5) U 1 max → U , U 2 max → U . go to (1). ...
doi:10.1109/iecon.2007.4460099
fatcat:o3oesha6s5eune3e6vo5jiisbi
Class-switching neural network ensembles
2008
Neurocomputing
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This modification consists in switching the class labels of a fraction of training examples that are selected at random from the original training set. ...
Abstract This article investigates the properties of class-switching ensembles composed of neural networks and compares them to class-switching ensembles of decision trees and to standard ensemble learning ...
In particular, networks with a single layer of 28 hidden units, trained over 1000 epochs are used. ...
doi:10.1016/j.neucom.2007.11.041
fatcat:rqwp4mgz2banzj6cyjpruhm3we
A model patient
2011
American Journal of Obstetrics and Gynecology
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To produce this tool, 3D volumetric models were created from serial 5-mm-thick images that were obtained with a 3-Tesla magnetic resonance scanner. ...
Each structure was traced with the use of the most clearly visible axial and/or coronal plane images and lofted into a 3D virtual model that was based on our previous anatomic work. [1] [2] [3] [4] [5] ...
FIGURE 2 . 2 The manipulation interface includes a model tree and toolbar. ...
doi:10.1016/j.ajog.2011.08.018
pmid:22083062
pmcid:PMC3616191
fatcat:visrfbdbm5cubgb53lisqm5fiq
Roget2000: a 2D hyperbolic tree visualization of Roget's Thesaurus
2002
Visualization and Data Analysis 2002
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The direct manipulation functions allow the user to customize the appearance of the tree, to view the density of terms associated with particular concepts, and to view the thesaurus entries associated ...
with each term. ...
ACKNOWLEDGEMENTS We thank John Old for supplying us with the inspiration for this project and the corresponding data. ...
doi:10.1117/12.458803
dblp:conf/vda/BaumgartnerW02
fatcat:43sgh6usavbrllsck2y7dmf7oi
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