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NAACL
2004
13 years 10 months ago
Ensemble-based Active Learning for Parse Selection
Supervised estimation methods are widely seen as being superior to semi and fully unsupervised methods. However, supervised methods crucially rely upon training sets that need to ...
Miles Osborne, Jason Baldridge
WSCG
2003
149views more  WSCG 2003»
13 years 10 months ago
Simulating Deformable Tools with Haptic Feedback in a Virtual Environment
Simulations for training and analysis incorporating haptic feedback are becoming more popular and the sophistication of these simulations is increasing. Many systems now allow a r...
Stephen D. Laycock, A. M. Day
GRAPHICSINTERFACE
2000
13 years 10 months ago
Analysis and Synthesis of Structural Textures
With the advent of image based modeling techniques, it becomes easier to apply textures extracted from reality onto virtual worlds. Many repetitive patterns (structural textures) ...
Laurent Lefebvre, Pierre Poulin
NIPS
1998
13 years 10 months ago
Coding Time-Varying Signals Using Sparse, Shift-Invariant Representations
A common way to represent a time series is to divide it into shortduration blocks, each of which is then represented by a set of basis functions. A limitation of this approach, ho...
Michael S. Lewicki, Terrence J. Sejnowski
RECSYS
2010
ACM
13 years 9 months ago
Incremental collaborative filtering via evolutionary co-clustering
Collaborative filtering is a popular approach for building recommender systems. Current collaborative filtering algorithms are accurate but also computationally expensive, and so ...
Mohammad Khoshneshin, W. Nick Street