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TNN
2008
177views more  TNN 2008»
13 years 10 months ago
Adaptive Importance Sampling to Accelerate Training of a Neural Probabilistic Language Model
Previous work on statistical language modeling has shown that it is possible to train a feed-forward neural network to approximate probabilities over sequences of words, resulting...
Yoshua Bengio, Jean-Sébastien Senecal
PCM
2004
Springer
180views Multimedia» more  PCM 2004»
14 years 3 months ago
An Adaptive Scene Compositor Model in MPEG-4 Player for Mobile Device
Abstract. MPEG-4 supports dynamic scene composition through various interactions such as adding/removing/replacing objects and changing object’s properties. MPEG-4 content can ex...
Hyunju Lee, Sangwook Kim
CVPR
2007
IEEE
15 years 4 days ago
Tracking-as-Recognition for Articulated Full-Body Human Motion Analysis
This paper addresses the problem of markerless tracking of a human in full 3D with a high-dimensional (29D) body model. Most work in this area has been focused on achieving accura...
Patrick Peursum, Svetha Venkatesh, Geoff A. W. Wes...
MT
2007
100views more  MT 2007»
13 years 9 months ago
Semi-supervised model adaptation for statistical machine translation
Statistical machine translation systems are usually trained on large amounts of bilingual text (used to learn a translation model), and also large amounts of monolingual text in th...
Nicola Ueffing, Gholamreza Haffari, Anoop Sarkar
ECCV
2010
Springer
14 years 2 months ago
Discriminative Tracking by Metric Learning
We present a discriminative model that casts appearance modeling and visual matching into a single objective for visual tracking. Most previous discriminative models for visual tra...