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JMLR
2010
140views more  JMLR 2010»
14 years 4 months ago
Learning From Crowds
For many supervised learning tasks it may be infeasible (or very expensive) to obtain objective and reliable labels. Instead, we can collect subjective (possibly noisy) labels fro...
Vikas C. Raykar, Shipeng Yu, Linda H. Zhao, Gerard...
IDA
2009
Springer
15 years 4 months ago
Blind Spectral-GMM Estimation for Underdetermined Instantaneous Audio Source Separation
Abstract. The underdetermined blind audio source separation problem is often addressed in the time-frequency domain by assuming that each time-frequency point is an independently d...
Simon Arberet, Alexey Ozerov, Rémi Gribonva...
ROBOCUP
2005
Springer
99views Robotics» more  ROBOCUP 2005»
15 years 3 months ago
Keepaway Soccer: From Machine Learning Testbed to Benchmark
Keepaway soccer has been previously put forth as a testbed for machine learning. Although multiple researchers have used it successfully for machine learning experiments, doing so ...
Peter Stone, Gregory Kuhlmann, Matthew E. Taylor, ...
WACV
2005
IEEE
15 years 3 months ago
Using Co-Occurrence and Segmentation to Learn Feature-Based Object Models from Video
A number of recent systems for unsupervised featurebased learning of object models take advantage of cooccurrence: broadly, they search for clusters of discriminative features tha...
Thomas S. Stepleton, Tai Sing Lee
NAACL
2003
14 years 11 months ago
Learning to Paraphrase: An Unsupervised Approach Using Multiple-Sequence Alignment
We address the text-to-text generation problem of sentence-level paraphrasing — a phenomenon distinct from and more difficult than word- or phrase-level paraphrasing. Our appro...
Regina Barzilay, Lillian Lee