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EMNLP
2008
13 years 10 months ago
Discriminative Learning of Selectional Preference from Unlabeled Text
We present a discriminative method for learning selectional preferences from unlabeled text. Positive examples are taken from observed predicate-argument pairs, while negatives ar...
Shane Bergsma, Dekang Lin, Randy Goebel
MVA
1998
248views Computer Vision» more  MVA 1998»
13 years 10 months ago
3D Reconstruction of Skin Surface from Image Sequence
This paper proposes a new method for reconstruction a shape of skin surface replica from shading image sequence taken with dierent light source directions. Since the shading image...
Takeshi Yamada, Hideo Saito, Shinji Ozawa
NIPS
1998
13 years 10 months ago
Learning from Dyadic Data
Dyadic data refers to a domain with two nite sets of objects in which observations are made for dyads, i.e., pairs with one element from either set. This type of data arises natur...
Thomas Hofmann, Jan Puzicha, Michael I. Jordan
CSE
2009
IEEE
13 years 9 months ago
Mining Mobility Behavior from Trajectory Data
The technologies of mobile communications and ubiquitous computing pervade our society, and wireless networks sense the movement of people and vehicles, generating large volumes o...
Fosca Giannotti, Mirco Nanni, Dino Pedreschi, Chia...
ICANN
2010
Springer
13 years 9 months ago
Learning Invariant Visual Shape Representations from Physics
3D shape determines an object's physical properties to a large degree. In this article, we introduce an autonomous learning system for categorizing 3D shape of simulated objec...
Mathias Franzius, Heiko Wersing