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KES
2008
Springer
15 years 1 months ago
Classification and Retrieval through Semantic Kernels
Abstract. This work proposes a family of language-independent semantic kernel functions defined for individuals in an ontology. This allows exploiting wellfounded kernel methods fo...
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
117
Voted
NN
1997
Springer
174views Neural Networks» more  NN 1997»
15 years 6 months ago
Learning Dynamic Bayesian Networks
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
Zoubin Ghahramani
ICDAR
2011
IEEE
14 years 1 months ago
Symbol Spotting in Line Drawings through Graph Paths Hashing
—In this paper we propose a symbol spotting technique through hashing the shape descriptors of graph paths (Hamiltonian paths). Complex graphical structures in line drawings can ...
Anjan Dutta, Josep Lladós, Umapada Pal
107
Voted
ICDM
2006
IEEE
149views Data Mining» more  ICDM 2006»
15 years 8 months ago
Pattern Mining in Frequent Dynamic Subgraphs
Graph-structured data is becoming increasingly abundant in many application domains. Graph mining aims at finding interesting patterns within this data that represent novel knowl...
Karsten M. Borgwardt, Hans-Peter Kriegel, Peter Wa...
AAAI
2008
15 years 4 months ago
Reasoning with Cardinal Directions: An Efficient Algorithm
Direction relations between extended spatial objects are important commonsense knowledge. Recently, Goyal and Egenhofer proposed a formal model, called Cardinal Direction Calculus...
Xiaotong Zhang, Weiming Liu, Sanjiang Li, Mingshen...