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ECCV
2008
Springer
16 years 2 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...
140
Voted

Publication
1763views
15 years 8 months ago
Reranking with Contextual dissimilarity measures from representational Bregman k-means
We present a novel reranking framework for Content Based Image Retrieval (CBIR) systems based on con-textual dissimilarity measures. Our work revisit and extend the method of Perro...
Olivier Schwander, Frank Nielsen
ECAI
2004
Springer
15 years 5 months ago
Lessons from Deploying NLG Technology for Marine Weather Forecast Text Generation
SUMTIME-MOUSAM is a Natural Language Generation (NLG) system that produces textual weather forecasts for offshore oilrigs from Numerical Weather Prediction (NWP) data. It has been ...
Somayajulu Sripada, Ehud Reiter, Ian Davy, Kristia...
102
Voted
SGP
2003
15 years 1 months ago
Approximating and Intersecting Surfaces from Points
Point sets become an increasingly popular shape representation. Most shape processing and rendering tasks require the approximation of a continuous surface from the point data. We...
Anders Adamson, Marc Alexa
88
Voted
GECCO
2005
Springer
196views Optimization» more  GECCO 2005»
15 years 5 months ago
Providing information from the environment for growing electronic circuits through polymorphic gates
This paper deals with the evolutionary design of programs (constructors) that are able to create (n+2)-input circuits from n-input circuits. The growing circuits are composed of p...
Michal Bidlo, Lukás Sekanina