37 search results - page 4 / 8 » Reducing Grounded Learning Tasks To Grammatical Inference |
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
Compressive sensing (CS) is an emerging field that, under appropriate conditions, can significantly reduce the number of measurements required for a given signal. In many applicat...
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
Tsochantaridis et al. (2005) proposed two formulations for maximum margin training of structured spaces: margin scaling and slack scaling. While margin scaling has been extensivel...
ICDAR
2009
IEEE
15 years 4 months ago
2009
IEEE
Training a system to recognize handwritten words is a task that requires a large amount of data with their correct transcription. However, the creation of such a training set, inc...
AAAI
2011
13 years 9 months ago
2011
This paper addresses the task of trajectory cost prediction, a new learning task for trajectories. The goal of this task is to predict the cost for an arbitrary (possibly unknown)...
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...