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FGR
2000
IEEE
159views Biometrics» more  FGR 2000»
15 years 8 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
JCDL
2003
ACM
231views Education» more  JCDL 2003»
15 years 9 months ago
Acquisition, Representation, Query and Analysis of Spatial Data: A Demonstration 3D Digital Library
The increasing power of techniques to model complex geometry and extract meaning from 3D information create complex data that must be described, stored, and displayed to be useful...
Jeremy Rowe, Anshuman Razdan, Arleyn Simon
DMIN
2006
122views Data Mining» more  DMIN 2006»
15 years 5 months ago
Cost-Sensitive Analysis in Multiple Time Series Prediction
- In this paper we propose a new methodology for Cost-Benefit analysis in a multiple time series prediction problem. The proposed model is evaluated in a real world application bas...
Chamila Walgampaya, Mehmed M. Kantardzic
CBMS
2006
IEEE
15 years 10 months ago
Incoporating Data Mining Applications into Clinical Guildelines
Computer based clinical guidelines have been developed to help caregivers in practicing medicine. GLIF3 (Guideline Interchange Format 3) is one of several standards that specify t...
Reza Sherafat Kazemzadeh, Kamran Sartipi
MICCAI
2006
Springer
16 years 5 months ago
A Nonparametric Bayesian Approach to Detecting Spatial Activation Patterns in fMRI Data
Traditional techniques for statistical fMRI analysis are often based on thresholding of individual voxel values or averaging voxel values over a region of interest. In this paper w...
Hal S. Stern, Padhraic Smyth, Seyoung Kim