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ECCV
2008
Springer
16 years 8 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...
ECCV
2008
Springer
16 years 8 months ago
Constructing Category Hierarchies for Visual Recognition
Abstract. Class hierarchies are commonly used to reduce the complexity of the classification problem. This is crucial when dealing with a large number of categories. In this work, ...
Marcin Marszalek, Cordelia Schmid
144
Voted
ECCV
2006
Springer
16 years 8 months ago
Adapted Vocabularies for Generic Visual Categorization
Several state-of-the-art Generic Visual Categorization (GVC) systems are built around a vocabulary of visual terms and characterize images with one histogram of visual word counts....
Florent Perronnin, Christopher R. Dance, Gabriela ...
168
Voted
ECCV
2002
Springer
16 years 8 months ago
A Tale of Two Classifiers: SNoW vs. SVM in Visual Recognition
Numerous statistical learning methods have been developed for visual recognition tasks. Few attempts, however, have been made to address theoretical issues, and in particular, stud...
Ming-Hsuan Yang, Dan Roth, Narendra Ahuja
ICDE
2009
IEEE
153views Database» more  ICDE 2009»
16 years 8 months ago
XBLEND: Visual XML Query Formulation Meets Query Processing
Due to the complexity of XML query languages, the need for visual query interfaces that can reduce the burden of query formulation is fundamental to the spreading of XML to wider c...
Zhou Yong, Sourav S. Bhowmick, Erwin Leonardi, Kla...