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» Unsupervised Learning of Models for Recognition
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154
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ACL
2008
15 years 5 months ago
Exploiting Feature Hierarchy for Transfer Learning in Named Entity Recognition
We present a novel hierarchical prior structure for supervised transfer learning in named entity recognition, motivated by the common structure of feature spaces for this task acr...
Andrew Arnold, Ramesh Nallapati, William W. Cohen
128
Voted
ACL
2012
13 years 6 months ago
Exploiting Social Information in Grounded Language Learning via Grammatical Reduction
This paper uses an unsupervised model of grounded language acquisition to study the role that social cues play in language acquisition. The input to the model consists of (orthogr...
Mark Johnson, Katherine Demuth, Michael C. Frank
169
Voted
PSIVT
2009
Springer
400views Multimedia» more  PSIVT 2009»
15 years 10 months ago
Local Image Descriptors Using Supervised Kernel ICA
PCA-SIFT is an extension to SIFT which aims to reduce SIFT’s high dimensionality (128 dimensions) by applying PCA to the gradient image patches. However PCA is not a discriminati...
Masaki Yamazaki, Sidney Fels
143
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FGR
2004
IEEE
127views Biometrics» more  FGR 2004»
15 years 7 months ago
Gait Style and Gait Content: Bilinear Models for Gait Recognition Using Gait Re-sampling
Human Identification using gait is a challenging computer vision task due to the dynamic motion of gait and the existence of various sources of variations such as viewpoint, walki...
Chan-Su Lee, Ahmed M. Elgammal
ICPR
2006
IEEE
16 years 4 months ago
Protein Fold Recognition using a Structural Hidden Markov Model
Protein fold recognition has been the focus of computational biologists for many years. In order to map a protein primary structure to its correct 3D fold, we introduce in this pa...
Djamel Bouchaffra, Jun Tan