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ICPR
2006
IEEE
16 years 2 months ago
Shape Alignment by Learning a Landmark-PDM Coupled Model
This paper revisits the model-based approaches for groupwise shape alignment. The key contribution is modeling the landmarks instead of considering them as nodes sliding along the...
Yifeng Jiang, Jun Xie, Hung-Tat Tsui
SSPR
2004
Springer
15 years 7 months ago
EM Initialisation for Bernoulli Mixture Learning
Mixture modelling is a hot area in pattern recognition. This paper focuses on the use of Bernoulli mixtures for binary data and, in particular, for binary images. More specificall...
Alfons Juan, José García-Herná...
ISMAR
2003
IEEE
15 years 7 months ago
Augmented Reality Kanji Learning
ARToolKit programmers are familiar with the kanji symbols supplied with the distribution. Most of them have do not know what these kanji symbols mean. We propose a piece of educat...
Daniel Wagner, István Barakonyi
99
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SIGUCCS
2003
ACM
15 years 7 months ago
Ready, connect, learn: preparing students for campus technology
This paper documents the progression through 4 methods of orienting incoming students in the use of Syracuse University’s computer systems. It discuses design issues involving: ...
Gerri McCarthy
BMVC
2002
15 years 4 months ago
Adaptive Learning of Statistical Appearance Models for 3D Human Tracking
A likelihood formulation for human tracking is presented based upon matching feature statistics on the surface of an articulated 3D body model. A benefit of such a formulation ove...
Timothy J. Roberts, Stephen J. McKenna, Ian W. Ric...