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» Learning Compositional Categorization Models
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CAIP
2009
Springer
211views Image Analysis» more  CAIP 2009»
14 years 2 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»
13 years 7 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
13 years 9 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»
13 years 7 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»
13 years 7 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...