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TIP
2008
165views more  TIP 2008»
15 years 1 months ago
Activity Modeling Using Event Probability Sequences
Changes in motion properties of trajectories provide useful cues for modeling and recognizing human activities. We associate an event with significant changes that are localized in...
Naresh P. Cuntoor, B. Yegnanarayana, Rama Chellapp...
PKDD
2009
Springer
152views Data Mining» more  PKDD 2009»
15 years 8 months ago
Feature Selection for Value Function Approximation Using Bayesian Model Selection
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
Tobias Jung, Peter Stone
FGR
2000
IEEE
159views Biometrics» more  FGR 2000»
15 years 6 months ago
Gesture Modeling and Recognition Using Finite State Machines
This paper proposes a state based approach to gesture learning and recognition. Using spatial clustering and temporal alignment, each gesture is defined to be an ordered sequence ...
Pengyu Hong, Thomas S. Huang, Matthew Turk
DKE
1999
118views more  DKE 1999»
15 years 1 months ago
Designing Data Warehouses
A Data Warehouse DW is a database that collects and stores data from multiple remote and heterogeneous information sources. When a query is posed, it is evaluated locally, without...
Dimitri Theodoratos, Timos K. Sellis
EACL
1989
ACL Anthology
15 years 3 months ago
A Metaplan Model For Problem-Solving Discourse
The structure of problem-solving discourse in the expert advising setting can be modeled by adding a layer of metaplans to a plan-based model of the task domain. Classes of metapl...
Lance A. Ramshaw