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EMNLP
2010
13 years 5 months ago
Unsupervised Induction of Tree Substitution Grammars for Dependency Parsing
Inducing a grammar directly from text is one of the oldest and most challenging tasks in Computational Linguistics. Significant progress has been made for inducing dependency gram...
Phil Blunsom, Trevor Cohn
IWCM
2004
Springer
14 years 24 days ago
Tracking Complex Objects Using Graphical Object Models
We present a probabilistic framework for component-based automatic detection and tracking of objects in video. We represent objects as spatio-temporal two-layer graphical models, w...
Leonid Sigal, Ying Zhu, Dorin Comaniciu, Michael J...
JMLR
2010
202views more  JMLR 2010»
13 years 2 months ago
Learning the Structure of Deep Sparse Graphical Models
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
Ryan Prescott Adams, Hanna M. Wallach, Zoubin Ghah...
BMCBI
2006
89views more  BMCBI 2006»
13 years 7 months ago
A joint model for nonparametric functional mapping of longitudinal trajectory and time-to-event
Background: The characterization of the relationship between a longitudinal response process and a time-to-event has been a pressing challenge in biostatistical research. This has...
Min Lin, Rongling Wu
VISUALIZATION
2002
IEEE
14 years 10 days ago
Christmas Tree Case Study: Computed Tomography as a Tool for Mastering Complex Real World Objects with Applications in Computer
We report on using computed tomography (CT) as a model acquisition tool for complex objects in computer graphics. Unlike other modeling and scanning techniques the complexity of t...
Armin Kanitsar, Thomas Theußl, Lukas Mroz, M...