Sciweavers

750 search results - page 121 / 150
» Learning SVMs from Sloppily Labeled Data
Sort
View
CVPR
2010
IEEE
14 years 6 months ago
Optimizing One-Shot Recognition with Micro-Set Learning
For object category recognition to scale beyond a small number of classes, it is important that algorithms be able to learn from a small amount of labeled data per additional clas...
Kevin Tang, Marshall Tappen, Rahul Sukthankar, Chr...
ICASSP
2009
IEEE
14 years 5 months ago
Combining discriminative re-ranking and co-training for parsing Mandarin speech transcripts
Discriminative reranking has been able to significantly improve parsing performance, and co-training has proven to be an effective weakly supervised learning algorithm to bootstr...
Wen Wang
PCM
2007
Springer
114views Multimedia» more  PCM 2007»
14 years 4 months ago
Random Convolution Ensembles
A novel method for creating diverse ensembles of image classifiers is proposed. The idea is that, for each base image classifier in the ensemble, a random image transformation is g...
Michael Mayo
ROBOCUP
2005
Springer
117views Robotics» more  ROBOCUP 2005»
14 years 3 months ago
Towards Eliminating Manual Color Calibration at RoboCup
Color calibration is a time-consuming, and therefore costly requirement for most robot teams at RoboCup. This paper presents an approach for autonomous color learning on-board a mo...
Mohan Sridharan, Peter Stone
ICCV
2007
IEEE
15 years 11 days ago
Unsupervised Joint Alignment of Complex Images
Many recognition algorithms depend on careful positioning of an object into a canonical pose, so the position of features relative to a fixed coordinate system can be examined. Cu...
Gary B. Huang, Vidit Jain, Erik G. Learned-Miller