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Dense Point Sets Have Sparse Delaunay Triangulations
"... Delaunay triangulations and Voronoi diagrams are one of the most thoroughly studies objects in computational geometry, with numerous applications including nearest-neighbor searching, clustering, finite-element mesh generation, deformable surface modeling, and surface reconstruction. Many algorithms ..."
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Cited by 29 (2 self)
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is almost never observed in practice except for highly-contrived inputs. For all practical purposes, three-dimensional Delaunay triangulations appear to have linear complexity. This frustrating
Unsupervised concept learning and value systematicity: A complex whole aids learning the parts
- Journal of Experimental Psychology: Learning, Memory, and Cognition
, 1996
"... Ease of learning new concepts may best be understood by simultaneously considering models of learning and theories of how "good " systems of categories are organized. The authors tested the effects on learning of value systematicity, a proposed organizing principle: If 1 attribute is predi ..."
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Cited by 48 (2 self)
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is predictive of another, it should predict still more. This principle derives from focused sampling in the internal feedback model (D. Billman & E. Heit, 1988) of unsupervised, or observational, learning. In 3 experiments, the authors tested how the organization of structure in input (value systematicity
The Synthesis of Cyclic Combinational Circuits
- In Design Automation Conference (DAC
, 2003
"... Digital circuits are called combinational if they are memoryless: they have outputs that depend only on the current values of the inputs. Combinational circuits are generally thought of as acyclic (i.e., feed-forward) structures. And yet, cyclic circuits can be combinational. Cycles sometimes occur ..."
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Cited by 13 (2 self)
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in designs synthesized from high-level descriptions. Feedback in such cases is carefully contrived, typically occurring when functional units are connected in a cyclic topology. Although the premise of cycles in combinational circuits has been accepted, and analysis techniques have been proposed, no one has
ABSTRACT STAND: Sanitization Tool for ANomaly Detection
"... heavily on the quality of the data used to train them. Artificial or contrived training data may not provide a realistic view of the deployment environment. Most realistic data sets are dirty; that is, they contain a number of attacks or anomalous events. The size of these high-quality training data ..."
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heavily on the quality of the data used to train them. Artificial or contrived training data may not provide a realistic view of the deployment environment. Most realistic data sets are dirty; that is, they contain a number of attacks or anomalous events. The size of these high-quality training
Supervisors:
, 2015
"... This project could not have become a reality if not for the assistance of numerous people, who have, in one way or another, helped us through the many little steps along the way. First of all, I want to express my gratitude to the professors on the thesis committee, Prof. Dirk Roekaerts, Dr. Otto Kr ..."
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undertake such an unusual project in the first place, and entertaining the various out-of-the-box ideas that we contrived along the way. From the beginning over a year ago, they were constantly willing to hear our ideas, all the while giving critical, guiding input to bring our ideas a bit closer
Algorithmic Aspects of Cyclic Combinational Circuit Synthesis
"... Abstract — Digital circuits are called combinational if they are memoryless: they have outputs that depend only on the current values of the inputs. Combinational circuits are generally thought of as acyclic (i.e., feed-forward) structures. And yet, cyclic circuits can be combinational. Cycles somet ..."
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sometimes occur in designs synthesized from high-level descriptions, as well as in bus-based designs [16]. Feedback in such cases is carefully contrived, typically occurring when functional units are connected in a cyclic topology. Although the premise of cycles in combinational circuits has been accepted
ARTICLE What
"... can we learn about physical laws from the fact that we have memories only of the past? ..."
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can we learn about physical laws from the fact that we have memories only of the past?
An Improved Threshold Ring Signature Scheme Based on Error Correcting Codes
"... Abstract. The concept of threshold ring signature in code-based cryptography was introduced by Aguilar et al. in [1]. Their proposal uses Stern’s identification scheme as basis. In this paper we construct a novel threshold ring signature scheme built on the q-SD identification scheme recently propos ..."
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Abstract. The concept of threshold ring signature in code-based cryptography was introduced by Aguilar et al. in [1]. Their proposal uses Stern’s identification scheme as basis. In this paper we construct a novel threshold ring signature scheme built on the q-SD identification scheme recently proposed by Cayrel et al. in [14]. Our proposed scheme benefits of a performance gain as a result of the reduction in the soundness error from 2/3 for Stern’s scheme to 1/2 per round for the q-SD scheme. Our threshold ring signature scheme uses random linear codes over the field Fq, secure in the random oracle model and its security relies on the hardness of an error-correcting codes problem (namely the q-ary syndrome decoding problem). In this paper we also provide implementation results of the Aguilar et al. scheme and our proposal, this is the first efficient implementation of this type of code-based schemes.
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