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ICDM
2007
IEEE
150views Data Mining» more  ICDM 2007»
14 years 1 months ago
Connections between Mining Frequent Itemsets and Learning Generative Models
Frequent itemsets mining is a popular framework for pattern discovery. In this framework, given a database of customer transactions, the task is to unearth all patterns in the for...
Srivatsan Laxman, Prasad Naldurg, Raja Sripada, Ra...
SSPR
2010
Springer
13 years 6 months ago
Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models
Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...
André F. T. Martins, Manuele Bicego, Vittor...
IEEEIAS
2007
IEEE
14 years 1 months ago
Generative Models for Fingerprint Individuality using Ridge Types
Generative models of pattern individuality attempt to represent the distribution of observed quantitative features, e.g., by learning parameters from a database, and then use such...
Gang Fang, Sargur N. Srihari, Harish Srinivasan
CVPR
2006
IEEE
14 years 9 months ago
Principled Hybrids of Generative and Discriminative Models
When labelled training data is plentiful, discriminative techniques are widely used since they give excellent generalization performance. However, for large-scale applications suc...
Julia A. Lasserre, Christopher M. Bishop, Thomas P...
CMSB
2008
Springer
13 years 9 months ago
Analyzing a Discrete Model of Aplysia Central Pattern Generator
We present a discrete formal model of the central pattern generator (CPG) located in the buccal ganglia of Aplysia that is responsible for mediating the rhythmic movements of its f...
Ashish Tiwari, Carolyn L. Talcott