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» A Framework for Multiple-Instance Learning
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135
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ICPR
2010
IEEE
15 years 1 months ago
Learning Scene Semantics Using Fiedler Embedding
We propose a framework to learn scene semantics from surveillance videos. Using the learnt scene semantics, a video analyst can efficiently and effectively retrieve the hidden sem...
Jingen Liu, Saad Ali
CVPR
2005
IEEE
16 years 5 months ago
Robust Boosting for Learning from Few Examples
We present and analyze a novel regularization technique based on enhancing our dataset with corrupted copies of our original data. The motivation is that since the learning algori...
Lior Wolf, Ian Martin
ECSQARU
2009
Springer
15 years 10 months ago
Maximum Likelihood Learning of Conditional MTE Distributions
We describe a procedure for inducing conditional densities within the mixtures of truncated exponentials (MTE) framework. We analyse possible conditional MTE specifications and pr...
Helge Langseth, Thomas D. Nielsen, Rafael Rum&iacu...
139
Voted
OZCHI
2006
ACM
15 years 9 months ago
Mobile helper for university students: a design for a mobile learning environment
This paper reports on a design case study for a mobile learning (M-learning) environment that follows a usercentred design approach. This development of the system applied an M-le...
Richard Brown, Hokyoung Ryu, David Parsons
121
Voted
HICSS
2003
IEEE
95views Biometrics» more  HICSS 2003»
15 years 9 months ago
Knowledge Negotiation in Asynchronous Learning Networks
The negotiation of what is to count as mutually acceptable collaborative knowledge is difficult to conduct when participants cannot interact face-to-face. We review certain relate...
Gerry Stahl