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ECCV
2004
Springer
16 years 5 months ago
Learning to Segment
Abstract. We describe a new approach for learning to perform classbased segmentation using only unsegmented training examples. As in previous methods, we first use training images ...
Eran Borenstein, Shimon Ullman
118
Voted
TKDE
2010
182views more  TKDE 2010»
15 years 1 months ago
MILD: Multiple-Instance Learning via Disambiguation
In multiple-instance learning (MIL), an individual example is called an instance and a bag contains a single or multiple instances. The class labels available in the training set ...
Wu-Jun Li, Dit-Yan Yeung
TCSV
2010
14 years 10 months ago
A Hierarchical Bayesian Generation Framework for Vacant Parking Space Detection
In this paper, from the viewpoint of scene understanding, a 3-layer Bayesian hierarchical framework (BHF) is proposed for robust vacant parking space detection. In practice, the ch...
Chingchun Huang, Sheng-Jyh Wang
122
Voted
CIMCA
2005
IEEE
15 years 9 months ago
Improving Rule Generation Precision for Domain Knowledge based Wrappers
Wrappers play an important role in extracting specified information from various sources. Wrapper rules by which information is extracted are often created from the domain-specifi...
Chang-Hoo Jeong, Sung-Jin Jhun, Myung-Eun Lim, Sun...
ICICS
1997
Springer
15 years 7 months ago
An implementable scheme for secure delegation of computing and data
The need for delegating information arises when the data owner wants to have her data handled by an external party. If the external party is untrusted and data are confidential, d...
Josep Domingo-Ferrer, Ricardo X. Sanchez del Casti...