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» Learning Compositional Categorization Models
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CAIP
2009
Springer
211views Image Analysis» more  CAIP 2009»
15 years 4 months ago
Contextual-Guided Bag-of-Visual-Words Model for Multi-class Object Categorization
Abstract. Bag-of-words model (BOW) is inspired by the text classification problem, where a document is represented by an unsorted set of contained words. Analogously, in the objec...
Mehdi Mirza-Mohammadi, Sergio Escalera, Petia Rade...
NRHM
2000
95views more  NRHM 2000»
14 years 9 months ago
Hybrid narrative and categorical strategies for interactive and dynamic video presentation generation
There are a number of different approaches for automatically selecting video clips from a video database and sequencing them into meaningful presentations for viewers. The video d...
Craig A. Lindley, Frank Nack
MEDINFO
2007
14 years 11 months ago
Text Categorization Models for Identifying Unproven Cancer Treatments on the Web
The nature of the internet as a non-peer-reviewed (and more generally largely unregulated) publication medium has allowed wide-spread promotion of inaccurate and unproven medical ...
Yin Aphinyanaphongs, Constantin F. Aliferis
PE
2000
Springer
95views Optimization» more  PE 2000»
14 years 9 months ago
Compositional performance modelling with the TIPPtool
Stochastic process algebras have been proposed as compositional specification formalisms for performance models. In this paper, we describe a tool which aims at realising all bene...
Holger Hermanns, Ulrich Herzog, Ulrich Klehmet, Va...
PAMI
2008
140views more  PAMI 2008»
14 years 9 months ago
Simplifying Mixture Models Using the Unscented Transform
Mixture of Gaussians (MoG) model is a useful tool in statistical learning. In many learning processes that are based on mixture models, computational requirements are very demandin...
Jacob Goldberger, Hayit Greenspan, Jeremie Dreyfus...