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» Learning Hierarchical Shape Models from Examples
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ICML
2009
IEEE
14 years 11 months ago
Uncertainty sampling and transductive experimental design for active dual supervision
Dual supervision refers to the general setting of learning from both labeled examples as well as labeled features. Labeled features are naturally available in tasks such as text c...
Vikas Sindhwani, Prem Melville, Richard D. Lawrenc...
NECO
2007
127views more  NECO 2007»
13 years 9 months ago
Visual Recognition and Inference Using Dynamic Overcomplete Sparse Learning
We present a hierarchical architecture and learning algorithm for visual recognition and other visual inference tasks such as imagination, reconstruction of occluded images, and e...
Joseph F. Murray, Kenneth Kreutz-Delgado
ERCIMDL
2009
Springer
225views Education» more  ERCIMDL 2009»
14 years 4 months ago
Demonstration of User Interfaces for Querying in 3D Architectural Content in PROBADO3D
Abstract. The PROBADO project is a research effort to develop Digital Library support for non-textual documents. The main goal is to contribute to all parts of the Digital Library...
René Bernd, Ina Blümel, Harald Krottma...
PAMI
2010
324views more  PAMI 2010»
13 years 8 months ago
A Compositional and Dynamic Model for Face Aging
—In this paper we present a compositional and dynamic model for face aging. The compositional model represents faces in each age group by a hierarchical And-Or graph, in which An...
Jin-Li Suo, Song Chun Zhu, Shiguang Shan, Xilin Ch...
ICDCS
2002
IEEE
14 years 3 months ago
A Fully Distributed Framework for Cost-Sensitive Data Mining
Data mining systems aim to discover patterns and extract useful information from facts recorded in databases. A widely adopted approach is to apply machine learning algorithms to ...
Wei Fan, Haixun Wang, Philip S. Yu, Salvatore J. S...