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ICMCS
2009
IEEE
104views Multimedia» more  ICMCS 2009»
13 years 5 months ago
A variational multi-view learning framework and its application to image segmentation
The paper presents a novel multi-view learning framework based on variational inference. We formulate the framework as a graph representation in form of graph factorization: the g...
Zhenglong Li, Qingshan Liu, Hanqing Lu
ICPR
2006
IEEE
14 years 8 months ago
Multi-modal Sequential Monte Carlo for On-Line Hierarchical Graph Structure Estimation in Model-based Scene Interpretation
We present a computationally efficient, on-line graph structure estimation method for model-based scene interpretation. Different scenes have different hierarchical graphical mode...
In-So Kweon, Sungho Kim
ICMCS
2005
IEEE
105views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Speech-Based Visual Concept Learning Using Wordnet
Modeling visual concepts using supervised or unsupervised machine learning approaches are becoming increasing important for video semantic indexing, retrieval, and filtering appli...
Xiaodan Song, Ching-Yung Lin, Ming-Ting Sun
PRL
2011
13 years 2 months ago
Object recognition using proportion-based prior information: Application to fisheries acoustics
: This paper addresses the inference of probabilistic classification models using weakly supervised learning. The main contribution of this work is the development of learning meth...
Riwal Lefort, Ronan Fablet, Jean-Marc Boucher
FOIKS
2008
Springer
13 years 9 months ago
Cost-Minimising Strategies for Data Labelling: Optimal Stopping and Active Learning
Supervised learning deals with the inference of a distribution over an output or label space Y conditioned on points in an observation space X , given a training dataset D of pair...
Christos Dimitrakakis, Christian Savu-Krohn