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» Iterated importance sampling in missing data problems
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HUC
2005
Springer
15 years 4 months ago
A Study of Bluetooth Propagation Using Accurate Indoor Location Mapping
The ubiquitous computing community has widely researched the use of 802.11 for the purpose of location inference. Meanwhile, Bluetooth is increasingly widely deployed due to its lo...
Anil Madhavapeddy, Alastair Tse
ICPR
2006
IEEE
15 years 12 months ago
Detecting Coarticulation in Sign Language using Conditional Random Fields
Coarticulation is one of the important factors that makes automatic sign language recognition a hard problem. Unlike in speech recognition, coarticulation effects in sign language...
Ruiduo Yang, Sudeep Sarkar
CGF
2007
145views more  CGF 2007»
14 years 10 months ago
Bitmask Soft Shadows
Recently, several real-time soft shadow algorithms have been introduced which all compute a single shadow map and use its texels to obtain a discrete scene representation. The res...
Michael Schwarz, Marc Stamminger
IJPRAI
2006
100views more  IJPRAI 2006»
14 years 10 months ago
Nearest Neighbor Discriminant Analysis
Linear Discriminant Analysis (LDA) is a popular feature extraction technique in statistical pattern recognition. However, it often suffers from the small sample size problem when ...
Xipeng Qiu, Lide Wu
PAMI
1998
131views more  PAMI 1998»
14 years 10 months ago
Characterization of Neuropathological Shape Deformations
—We present a framework for analyzing the shape deformation of structures within the human brain. A mathematical model is developed describing the deformation of any brain struct...
John Martin, Alex Pentland, Stan Sclaroff, Ron Kik...