290 search results - page 31 / 58 » Learning with Deep Cascades |
DAC
2008
ACM
14 years 11 months ago
2008
ACM
In deep submicron circuits, thermal hot spots and high temperature gradients increase the cooling costs, and degrade reliability and performance. In this paper, we propose a low-co...
ECCV
2010
Springer
14 years 1 months ago
2010
Springer
Cascading techniques are commonly used to speed-up the scan of an image for object detection. However, cascades of detectors are slow to train due to the high number of detectors a...
ICML
2010
IEEE
13 years 11 months ago
2010
IEEE
For centuries, scholars have explored the deep links among human languages. In this paper, we present a class of probabilistic models that use these links as a form of naturally o...
ITC
2003
IEEE
14 years 3 months ago
2003
IEEE
This paper argues that the existing approaches to modeling and characterization of IC malfunctions are inadequate for test and yield learning of Deep Sub-Micron (DSM) products. Tr...
CVPR
2004
IEEE
14 years 12 months ago
2004
IEEE
This paper gives an algorithm for detecting and reading text in natural images. The algorithm is intended for use by blind and visually impaired subjects walking through city scen...