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IDEAL
2010
Springer
15 years 2 months ago
Applying Clustering Techniques to Reduce Complexity in Automated Planning Domains
Automated Planning is a very active area of research within Artificial Intelligence. Broadly this discipline deals with the methods by which an agent can independently determine t...
Luke Dicken, John Levine
108
Voted
ICCV
2007
IEEE
16 years 5 months ago
Vector Quantizing Feature Space with a Regular Lattice
Most recent class-level object recognition systems work with visual words, i.e., vector quantized local descriptors. In this paper we examine the feasibility of a dataindependent ...
Tinne Tuytelaars, Cordelia Schmid
IJON
2006
85views more  IJON 2006»
15 years 3 months ago
From outliers to prototypes: Ordering data
We propose simple and fast methods based on nearest neighbors that order objects from high-dimensional data sets from typical points to untypical points. On the one hand, we show ...
Stefan Harmeling, Guido Dornhege, David M. J. Tax,...
139
Voted
CAISE
2004
Springer
15 years 9 months ago
UML for Ontology Modelling and Interoperability
The Semantic Web vision aims to integrate and convert the vast amount of information available on the Internet into a machine-understandable network. The objective is to promote kn...
Vandana Kabilan, Paul Johannesson
KDD
2004
ACM
158views Data Mining» more  KDD 2004»
16 years 4 months ago
A generalized maximum entropy approach to bregman co-clustering and matrix approximation
Co-clustering is a powerful data mining technique with varied applications such as text clustering, microarray analysis and recommender systems. Recently, an informationtheoretic ...
Arindam Banerjee, Inderjit S. Dhillon, Joydeep Gho...