503 search results - page 3 / 101 » Learning Semantic Concepts from Visual Data Using Neural Net... |
68
Voted
CEC
2008
IEEE
14 years 11 months ago
2008
IEEE
This article presents results from experiments where a detector for defects in visual inspection images was learned from scratch by EANT2, a method for evolutionary reinforcement l...
ICML
2008
IEEE
2008
IEEE
A unified architecture for natural language processing: deep neural networks with multitask learning
15 years 10 months ago
We describe a single convolutional neural network architecture that, given a sentence, outputs a host of language processing predictions: part-of-speech tags, chunks, named entity...
ICDAR
2003
IEEE
15 years 2 months ago
2003
IEEE
Neural networks are a powerful technology for classification of visual inputs arising from documents. However, there is a confusing plethora of different neural network methods th...
ECCV
2008
Springer
15 years 11 months ago
2008
Springer
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...
ICIP
2008
IEEE
15 years 11 months ago
2008
IEEE
Exploding amounts of multimedia data increasingly require automatic indexing and classification, e.g. training classifiers to produce high-level features, or semantic concepts, ch...