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» Domain Adaptation for Object Recognition: An Unsupervised Ap...
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NIPS
2008
15 years 1 months ago
Correlated Bigram LSA for Unsupervised Language Model Adaptation
We present a correlated bigram LSA approach for unsupervised LM adaptation for automatic speech recognition. The model is trained using efficient variational EM and smoothed using...
Yik-Cheung Tam, Tanja Schultz
84
Voted
ICPR
2006
IEEE
16 years 23 days ago
Object and Scene Classification: what does a Supervised Approach Provide us?
Given a set of images of scenes containing different object categories (e.g. grass, roads) our objective is to discover these objects in each image, and to use this object occurre...
Anna Bosch, Arnau Oliver, Robert Marti, Xavier Mu&...
86
Voted
SCIA
2005
Springer
174views Image Analysis» more  SCIA 2005»
15 years 5 months ago
Object Localization with Boosting and Weak Supervision for Generic Object Recognition
Abstract. This paper deals, for the first time, with an analysis of localization capabilities of weakly supervised categorization systems. Most existing categorization approaches ...
Andreas Opelt, Axel Pinz
ECCV
2008
Springer
16 years 1 months ago
Training Hierarchical Feed-Forward Visual Recognition Models Using Transfer Learning from Pseudo-Tasks
Abstract. Building visual recognition models that adapt across different domains is a challenging task for computer vision. While feature-learning machines in the form of hierarchi...
Amr Ahmed, Kai Yu, Wei Xu, Yihong Gong, Eric P. Xi...
HICSS
2005
IEEE
117views Biometrics» more  HICSS 2005»
15 years 5 months ago
Movie Review Mining: a Comparison between Supervised and Unsupervised Classification Approaches
Web content mining is intended to help people discover valuable information from large amount of unstructured data on the web. Movie review mining classifies movie reviews into tw...
Pimwadee Chaovalit, Lina Zhou