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» Utility-Based Abstraction and Categorization
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212
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ACCV
2010
Springer
15 years 4 months ago
Abstraction and Generalization of 3D structure for recognition in large intra-class variation
Humans have abstract models for object classes which helps recognize previously unseen instances, despite large intra-class variations. Also objects are grouped into classes based...
Gowri Somanath, Chandra Kambhamettu
140
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EDBT
2004
ACM
192views Database» more  EDBT 2004»
16 years 3 months ago
LIMBO: Scalable Clustering of Categorical Data
Abstract. Clustering is a problem of great practical importance in numerous applications. The problem of clustering becomes more challenging when the data is categorical, that is, ...
Periklis Andritsos, Panayiotis Tsaparas, Ren&eacut...
149
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IDA
2009
Springer
15 years 1 months ago
Context-Based Distance Learning for Categorical Data Clustering
Abstract. Clustering data described by categorical attributes is a challenging task in data mining applications. Unlike numerical attributes, it is difficult to define a distance b...
Dino Ienco, Ruggero G. Pensa, Rosa Meo
ACCV
2010
Springer
14 years 10 months ago
Indoor Scene Classification Using Combined 3D and Gist Features
Abstract. Scene categorization is an important mechanism for providing high-level context which can guide methods for a more detailed analysis of scenes. State-of-the-art technique...
Agnes Swadzba, Sven Wachsmuth
MSCS
2006
69views more  MSCS 2006»
15 years 3 months ago
A categorical quantum logic
We define a sequent calculus corresponding to the logic of strongly compact closed categories with biproducts. Based on this calculus, we define a proof-net syntax with ly normali...
Samson Abramsky, Ross Duncan