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ICML
2008
IEEE
16 years 5 months ago
Extracting and composing robust features with denoising autoencoders
Previous work has shown that the difficulties in learning deep generative or discriminative models can be overcome by an initial unsupervised learning step that maps inputs to use...
Pascal Vincent, Hugo Larochelle, Yoshua Bengio, Pi...
EMNLP
2010
15 years 3 months ago
Learning Recurrent Event Queries for Web Search
Recurrent event queries (REQ) constitute a special class of search queries occurring at regular, predictable time intervals. The freshness of documents ranked for such queries is ...
Ruiqiang Zhang, Yuki Konda, Anlei Dong, Pranam Kol...
COLING
2000
15 years 6 months ago
WebDIPLOMAT: A Web-Based Interactive Machine Translation System
We have implenlented a.n interactive, Wel)-based, chat-style machine translation system, SUpl)ort;ing speech recognition and synthesis, local- or thirdparty correction of speech r...
Christopher Hogan, Robert E. Frederking
205
Voted
CVPR
2012
IEEE
13 years 7 months ago
The Shape Boltzmann Machine: A strong model of object shape
A good model of object shape is essential in applications such as segmentation, object detection, inpainting and graphics. For example, when performing segmentation, local constra...
S. M. Ali Eslami, Nicolas Heess, John M. Winn
ICALT
2010
IEEE
15 years 3 months ago
A New Approach Based on Modelled Traces to Compute Collaborative and Individual Indicators Human Interaction
We propose in this paper a new method to compute indicators based on models transformations. We use the concept of modeled trace and trace-based system to design an indicator. We u...
Tarek Djouad, Alain Mille, Christophe Reffay, Moha...