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» Learning from Multiple Annotators with Gaussian Processes
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126
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CVPR
2007
IEEE
16 years 5 months ago
OPTIMOL: automatic Online Picture collecTion via Incremental MOdel Learning
A well-built dataset is a necessary starting point for advanced computer vision research. It plays a crucial role in evaluation and provides a continuous challenge to stateof-the-...
Li-Jia Li, Gang Wang, Fei-Fei Li 0002
112
Voted
IWPT
2001
15 years 5 months ago
Parsing the CHILDES Database: Methodology and Lessons Learned
This paper discusses the process of parsing adult utterances directed to a child, in an effort to produce a syntactically annotated corpus of the verbal input to a human language ...
Kenji Sagae, Alon Lavie, Brian MacWhinney
166
Voted
ICRA
2010
IEEE
104views Robotics» more  ICRA 2010»
15 years 2 months ago
Using model knowledge for learning inverse dynamics
— In recent years, learning models from data has become an increasingly interesting tool for robotics, as it allows straightforward and accurate model approximation. However, in ...
Duy Nguyen-Tuong, Jan Peters
BMCBI
2007
98views more  BMCBI 2007»
15 years 3 months ago
Duration learning for analysis of nanopore ionic current blockades
Background: Ionic current blockade signal processing, for use in nanopore detection, offers a promising new way to analyze single molecule properties, with potential implications ...
Alexander G. Churbanov, Carl Baribault, Stephen Wi...
CVPR
2004
IEEE
16 years 5 months ago
Learning Distance Functions for Image Retrieval
Image retrieval critically relies on the distance function used to compare a query image to images in the database. We suggest to learn such distance functions by training binary ...
Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall