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CVPR
2005
IEEE
16 years 6 months ago
Object Class Recognition Using Multiple Layer Boosting with Heterogeneous Features
We combine local texture features (PCA-SIFT), global features (shape context), and spatial features within a single multi-layer AdaBoost model of object class recognition. The fir...
Wei Zhang 0002, Bing Yu, Gregory J. Zelinsky, Dimi...
EMNLP
2009
15 years 1 months ago
Semi-supervised Semantic Role Labeling Using the Latent Words Language Model
Semantic Role Labeling (SRL) has proved to be a valuable tool for performing automatic analysis of natural language texts. Currently however, most systems rely on a large training...
Koen Deschacht, Marie-Francine Moens
ICCV
2003
IEEE
16 years 6 months ago
Automatically Labeling Video Data Using Multi-class Active Learning
Labeling video data is an essential prerequisite for many vision applications that depend on training data, such as visual information retrieval, object recognition, and human act...
Rong Yan, Jie Yang, Alexander G. Hauptmann
NAACL
2010
15 years 2 months ago
Using Mostly Native Data to Correct Errors in Learners' Writing
We present results from a range of experiments on article and preposition error correction for non-native speakers of English. We first compare a language model and errorspecific ...
Michael Gamon
TROB
2011
255views more  TROB 2011»
14 years 11 months ago
Active 3D Object Localization Using a Humanoid Robot
—We study the problem of actively searching for an object in a 3D environment under the constraint of a maximum search time, using a visually guided humanoid robot with twentysix...
Alexander Andreopoulos, Stephan Hasler, Heiko Wers...