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HUC
2009
Springer
15 years 2 months ago
Experiences of participatory sensing in the wild
We present two studies of participatory sensing in the wild, in which groups of young people used sensors to collect environmental data along with contextual information such as p...
Mark Paxton, Steve Benford
ACCV
2010
Springer
14 years 11 months ago
Learning Rare Behaviours
Abstract. We present a novel approach to detect and classify rare behaviours which are visually subtle and occur sparsely in the presence of overwhelming typical behaviours. We tre...
Jian Li, Timothy M. Hospedales, Shaogang Gong, Tao...
KDD
2008
ACM
264views Data Mining» more  KDD 2008»
16 years 4 months ago
Stable feature selection via dense feature groups
Many feature selection algorithms have been proposed in the past focusing on improving classification accuracy. In this work, we point out the importance of stable feature selecti...
Lei Yu, Chris H. Q. Ding, Steven Loscalzo
SAC
2006
ACM
15 years 10 months ago
The impact of sample reduction on PCA-based feature extraction for supervised learning
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
IJCV
2006
161views more  IJCV 2006»
15 years 4 months ago
Discriminative Random Fields
In this research we address the problem of classification and labeling of regions given a single static natural image. Natural images exhibit strong spatial dependencies, and mode...
Sanjiv Kumar, Martial Hebert