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» A supervised learning approach for imbalanced data sets
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ICASSP
2011
IEEE
14 years 10 months ago
Sparse coding and dictionary learning based on the MDL principle
The power of sparse signal coding with learned overcomplete dictionaries has been demonstrated in a variety of applications and fields, from signal processing to statistical infe...
Ignacio Ramírez, Guillermo Sapiro
JMLR
2010
88views more  JMLR 2010»
15 years 1 months ago
Unsupervised Aggregation for Classification Problems with Large Numbers of Categories
Classification problems with a very large or unbounded set of output categories are common in many areas such as natural language and image processing. In order to improve accurac...
Ivan Titov, Alexandre Klementiev, Kevin Small, Dan...
CVPR
2012
IEEE
13 years 8 months ago
Figure-ground segmentation by transferring window masks
We present a novel technique for figure-ground segmentation, where the goal is to separate all foreground objects in a test image from the background. We decompose the test image...
Daniel Küttel, Vittorio Ferrari
MLMI
2004
Springer
15 years 11 months ago
Shallow Dialogue Processing Using Machine Learning Algorithms (or Not)
This paper presents a shallow dialogue analysis model, aimed at human-human dialogues in the context of staff or business meetings. Four components of the model are defined, and ...
Andrei Popescu-Belis, Alexander Clark, Maria Georg...
CICLING
2006
Springer
15 years 10 months ago
Application of Semi-supervised Learning to Evaluative Expression Classification
Abstract. We propose to use semi-supervised learning methods to classify evaluative expressions, that is, tuples of subjects, their attributes, and evaluative words, that indicate ...
Yasuhiro Suzuki, Hiroya Takamura, Manabu Okumura