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» Using Cell-DEVS for Modeling Complex Cell Spaces
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TASLP
2010
102views more  TASLP 2010»
15 years 1 months ago
Representing Musical Sounds With an Interpolating State Model
—A computationally efficient algorithm is proposed for modeling and representing time-varying musical sounds. The aim is to encode individual sounds and not the statistical prop...
Anssi Klapuri, Tuomas Virtanen
212
Voted
ILP
2007
Springer
15 years 9 months ago
Building Relational World Models for Reinforcement Learning
Abstract. Many reinforcement learning domains are highly relational. While traditional temporal-difference methods can be applied to these domains, they are limited in their capaci...
Trevor Walker, Lisa Torrey, Jude W. Shavlik, Richa...
136
Voted
3DIM
2005
IEEE
15 years 9 months ago
Multi-Resolution Modeling and Locally Refined Collision Detection for Haptic Interaction
The computational cost of a collision detection (CD) algorithm on polygonal surfaces depends highly on the complexity of the models. A novel “locally refined” approach is intr...
Peiran Liu, Xiaojun Shen, Nicolas D. Georganas, Ge...
3DPVT
2002
IEEE
169views Visualization» more  3DPVT 2002»
15 years 8 months ago
Compression of Isosurfaces for Structured Volumes with Context Modelling
In many applications surfaces with a large number of primitives occur. Geometry compression reduces storage space and transmission time for such models. A special case is given by...
Dietmar Saupe, Jens-Peer Kuska
133
Voted
CORR
2008
Springer
107views Education» more  CORR 2008»
15 years 3 months ago
A Spectral Algorithm for Learning Hidden Markov Models
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
Daniel Hsu, Sham M. Kakade, Tong Zhang