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» Learning From Ambiguous Examples
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CVPR
2012
IEEE
13 years 2 months ago
The Shape Boltzmann Machine: A strong model of object shape
A good model of object shape is essential in applications such as segmentation, object detection, inpainting and graphics. For example, when performing segmentation, local constra...
S. M. Ali Eslami, Nicolas Heess, John M. Winn
ACL
2012
13 years 2 months ago
Named Entity Disambiguation in Streaming Data
The named entity disambiguation task is to resolve the many-to-many correspondence between ambiguous names and the unique realworld entity. This task can be modeled as a classifi...
Alexandre Davis, Adriano Veloso, Altigran Soares d...
KDD
2008
ACM
137views Data Mining» more  KDD 2008»
16 years 6 days ago
Learning classifiers from only positive and unlabeled data
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
Charles Elkan, Keith Noto
KDD
2009
ACM
190views Data Mining» more  KDD 2009»
16 years 10 days ago
Named entity mining from click-through data using weakly supervised latent dirichlet allocation
This paper addresses Named Entity Mining (NEM), in which we mine knowledge about named entities such as movies, games, and books from a huge amount of data. NEM is potentially use...
Gu Xu, Shuang-Hong Yang, Hang Li
DPPI
2007
ACM
15 years 3 months ago
Reverse alarm clock: a research through design example of designing for the self
This paper documents a first attempt at "designing for the self", an approach to designing products intended to help people move closer to their idealized sense of self a...
Kursat Kursat Ozenc, James P. Brommer, Bong-keum J...