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GIS
2002
ACM
15 years 2 months ago
Opening the black box: interactive hierarchical clustering for multivariate spatial patterns
Clustering is one of the most important tasks for geographic knowledge discovery. However, existing clustering methods have two severe drawbacks for this purpose. First, spatial c...
Diansheng Guo, Donna Peuquet, Mark Gahegan
DATAMINE
1999
152views more  DATAMINE 1999»
15 years 1 months ago
Discovery of Frequent DATALOG Patterns
Discovery of frequent patterns has been studied in a variety of data mining settings. In its simplest form, known from association rule mining, the task is to discover all frequent...
Luc Dehaspe, Hannu Toivonen
ICIP
2001
IEEE
16 years 3 months ago
Combining support vector machines for accurate face detection
The paper proposes the application of majority voting on the output of several support vector machines in order to select the most suitable learning machine for frontal face detec...
Ioan Buciu, Constantine Kotropoulos, Ioannis Pitas
94
Voted
ACSC
2002
IEEE
15 years 7 months ago
Using Finite State Automata for Sequence Mining
We show how frequently occurring sequential patterns may be found from large datasets by first inducing a finite state automaton model describing the data, and then querying the m...
Philip Hingston
105
Voted
SSPR
1998
Springer
15 years 6 months ago
Network-Based Recognition of Architectural Symbols
Abstract. In this paper, we propose a method for recognizing architectural symbols. The method is based on the description of the model through a set of constraints on geometrical ...
Christian Ah-Soon, Karl Tombre