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» Data Discretization Unification
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SETN
2004
Springer
14 years 29 days ago
Incremental Mixture Learning for Clustering Discrete Data
Abstract. This paper elaborates on an efficient approach for clustering discrete data by incrementally building multinomial mixture models through likelihood maximization using the...
Konstantinos Blekas, Aristidis Likas
NIPS
2007
13 years 9 months ago
Active Preference Learning with Discrete Choice Data
We propose an active learning algorithm that learns a continuous valuation model from discrete preferences. The algorithm automatically decides what items are best presented to an...
Eric Brochu, Nando de Freitas, Abhijeet Ghosh
ICMS
2010
13 years 6 months ago
TADD: A Computational Framework for Data Analysis Using Discrete Morse Theory
This paper presents a computational framework that allows for a robust extraction of the extremal structure of scalar and vector fields on 2D manifolds embedded in 3D. This struct...
Jan Reininghaus, David Günther, Ingrid Hotz, ...
ICDE
2007
IEEE
185views Database» more  ICDE 2007»
14 years 9 months ago
On k-Nearest Neighbor Searching in Non-Ordered Discrete Data Spaces
A k-nearest neighbor (k-NN) query retrieves k objects from a database that are considered to be the closest to a given query point. Numerous techniques have been proposed in the p...
Dashiell Kolbe, Qiang Zhu, Sakti Pramanik
SSDBM
1998
IEEE
107views Database» more  SSDBM 1998»
13 years 12 months ago
Discrete Object Detection and Motion Registration Based on a Data Management Approach
When scientific data sets can be interpreted visually they are typically managed as pictures and consequently stored as large collections of bitmaps. Valuable information containe...
Hans Hinterberger, Bettina Bauer-Messmer