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» Adaptive Distances on Sets of Vectors
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ICIAP
2009
ACM
14 years 5 months ago
A New Generative Feature Set Based on Entropy Distance for Discriminative Classification
Abstract. Score functions induced by generative models extract fixeddimensions feature vectors from different-length data observations by subsuming the process of data generation, ...
Alessandro Perina, Marco Cristani, Umberto Castell...
ESAS
2005
Springer
13 years 10 months ago
Provable Security of On-Demand Distance Vector Routing in Wireless Ad Hoc Networks
Abstract. In this paper, we propose a framework for the security analysis of on-demand, distance vector routing protocols for ad hoc networks, such as AODV, SAODV, and ARAN. The pr...
Gergely Ács, Levente Buttyán, Istv&a...
DAWAK
2001
Springer
13 years 9 months ago
Adaptable Similarity Search Using Vector Quantization
Adaptable similarity queries based on quadratic form distance functions are widely popular in data mining applications, particularly for domains such as multimedia, CAD, molecular ...
Christian Böhm, Hans-Peter Kriegel, Thomas Se...
ICDM
2009
IEEE
200views Data Mining» more  ICDM 2009»
13 years 2 months ago
Improving SVM Classification on Imbalanced Data Sets in Distance Spaces
Abstract--Imbalanced data sets present a particular challenge to the data mining community. Often, it is the rare event that is of interest and the cost of misclassifying the rare ...
Suzan Koknar-Tezel, Longin Jan Latecki
PR
2008
123views more  PR 2008»
13 years 4 months ago
Extensions of vector quantization for incremental clustering
In this paper, we extend the conventional vector quantization by incorporating a vigilance parameter, which steers the tradeoff between plasticity and stability during incremental...
Edwin Lughofer