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» Learning spatial concepts from RatSLAM representations
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KDD
2004
ACM
113views Data Mining» more  KDD 2004»
16 years 4 days ago
Learning spatially variant dissimilarity (SVaD) measures
Clustering algorithms typically operate on a feature vector representation of the data and find clusters that are compact with respect to an assumed (dis)similarity measure betwee...
Krishna Kummamuru, Raghu Krishnapuram, Rakesh Agra...
IJCAI
1997
15 years 1 months ago
Mental Tracking: A Computational Model of Spatial Development
Psychological experiments on children's development of spatial knowledge suggest experience at self-locomotion with visual tracking as important factors. Yet, the mechanism u...
Kazuo Hiraki, Akio Sashima, Steven Phillips
PR
2002
202views more  PR 2002»
14 years 11 months ago
3D C-string: a new spatio-temporal knowledge representation for video database systems
In video database systems, one of the most important methods for discriminating the videos is by using the objects and the perception of spatial and temporal relations that exist ...
Anthony J. T. Lee, Han-Pang Chiu, Ping Yu
ECML
2006
Springer
15 years 3 months ago
Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....
Corneliu Henegar, Karine Clément, Jean-Dani...
GIS
1992
ACM
15 years 3 months ago
Machine Induction of Geospatial Knowledge
Machine learning techniques such as tree induction have become accepted tools for developing generalisations of large data sets, typically for use with production rule systems in p...
Peter A. Whigham, Robert I. McKay, J. R. Davis