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» Modeling High-Dimensional Index Structures using Sampling
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NIPS
2008
15 years 6 months ago
The Recurrent Temporal Restricted Boltzmann Machine
The Temporal Restricted Boltzmann Machine (TRBM) is a probabilistic model for sequences that is able to successfully model (i.e., generate nice-looking samples of) several very hi...
Ilya Sutskever, Geoffrey E. Hinton, Graham W. Tayl...
155
Voted
WISE
2006
Springer
15 years 10 months ago
Efficient Filtering Query Indexing in Data Stream
Filtering queries are widely used in data stream applications. As more and more filtering queries are registered in high-speed data stream management system, the processing efficie...
Ying Wang, Shuo Bai, Jianlong Tan, Li Guo
133
Voted
INLG
2010
Springer
15 years 2 months ago
Named Entity Generation Using Sampling-based Structured Prediction
The problem of Named Entity Generation is expressed as a conditional probability model over a structured domain. By defining a factor-graph model over the mentions of a text, we o...
Guillaume Bouchard
164
Voted
UAI
2001
15 years 5 months ago
Markov Chain Monte Carlo using Tree-Based Priors on Model Structure
We present a general framework for defining priors on model structure and sampling from the posterior using the Metropolis-Hastings algorithm. The key ideas are that structure pri...
Nicos Angelopoulos, James Cussens
ECCV
2004
Springer
16 years 6 months ago
Human Pose Estimation Using Learnt Probabilistic Region Similarities and Partial Configurations
Abstract. A model of human appearance is presented for efficient pose estimation from real-world images. In common with related approaches, a high-level model defines a space of co...
Timothy J. Roberts, Stephen J. McKenna, Ian W. Ric...