224 search results - page 25 / 45 » Active Semi-Supervised Learning using Submodular Functions |
ISVC
2007
Springer
14 years 1 months ago
2007
Springer
We present a novel boosting algorithm where temporal consistency is addressed in a short-term way. Although temporal correlation of observed data may be an important cue for classi...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
Although semi-supervised learning has been an active area of research, its use in deployed applications is still relatively rare because the methods are often difficult to impleme...
NIPS
2000
13 years 8 months ago
2000
It has long been known that lateral inhibition in neural networks can lead to a winner-take-all competition, so that only a single neuron is active at a steady state. Here we show...
MICCAI
2006
Springer
14 years 8 months ago
2006
Springer
Abstract. This paper presents a novel active surface segmentation algorithm using a multiscale shape representation and prior. We define a parametric model of a surface using spher...
IJON
2007
13 years 7 months ago
2007
It has been unclear whether optimal experimental design accounts of data selection may offer insight into evidence acquisition tasks in which the learner’s beliefs change greatl...