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CVPR
2012
IEEE
13 years 5 months ago
Contextual Boost for Pedestrian Detection
Pedestrian detection from images is an important and yet challenging task. The conventional methods usually identify human figures using image features inside the local regions. In...
Yuanyuan Ding, Jing Xiao
ICPR
2008
IEEE
16 years 3 months ago
Exploiting qualitative domain knowledge for learning Bayesian network parameters with incomplete data
When a large amount of data are missing, or when multiple hidden nodes exist, learning parameters in Bayesian networks (BNs) becomes extremely difficult. This paper presents a lea...
Qiang Ji, Wenhui Liao
149
Voted
TIP
2002
179views more  TIP 2002»
15 years 2 months ago
Unsupervised image classification, segmentation, and enhancement using ICA mixture models
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
Te-Won Lee, Michael S. Lewicki
111
Voted
HPCA
2004
IEEE
16 years 2 months ago
Perceptron-Based Branch Confidence Estimation
Pipeline gating has been proposed for reducing wasted speculative execution due to branch mispredictions. As processors become deeper or wider, pipeline gating becomes more import...
Haitham Akkary, Srikanth T. Srinivasan, Rajendar K...
124
Voted
ICVGIP
2008
15 years 3 months ago
Automated Flower Classification over a Large Number of Classes
We investigate to what extent combinations of features can improve classification performance on a large dataset of similar classes. To this end we introduce a 103 class flower da...
Maria-Elena Nilsback, Andrew Zisserman