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ECCV
2008
Springer
14 years 9 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...
APIN
2006
109views more  APIN 2006»
13 years 7 months ago
Visual analogy: Viewing analogical retrieval and mapping as constraint satisfaction problems
The core issue of analogical reasoning is the transfer of relational knowledge from a source case to a target problem. Visual analogical reasoning pertains to problems containing ...
Patrick W. Yaner, Ashok K. Goel
MCS
2002
Springer
13 years 7 months ago
Combining Classifiers of Pesticides Toxicity through a Neuro-fuzzy Approach
The increasing amount and complexity of data in toxicity prediction calls for new approaches based on hybrid intelligent methods for mining the data. This focus is required even mo...
Emilio Benfenati, Paolo Mazzatorta, Daniel Neagu, ...
ETVC
2008
13 years 9 months ago
Abstracts of the LIX Fall Colloquium 2008: Emerging Trends in Visual Computing
s of the LIX Fall Colloquium 2008: Emerging Trends in Visual Computing Frank Nielsen Ecole Polytechnique, Palaiseau, France Sony CSL, Tokyo, Japan Abstract. We list the abstracts o...
Frank Nielsen
VISUALIZATION
1997
IEEE
13 years 12 months ago
GADGET: goal-oriented application design guidance for modular visualization environments
Modular Visualization Environments (MVEs) have recently been regarded as the de facto standard for scientific data visualization, mainly due to adoption of visual programming sty...
Issei Fujishiro, Yuriko Takeshima, Yoshihiko Ichik...