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NIPS
2007
14 years 11 months ago
Nearest-Neighbor-Based Active Learning for Rare Category Detection
Rare category detection is an open challenge for active learning, especially in the de-novo case (no labeled examples), but of significant practical importance for data mining - ...
Jingrui He, Jaime G. Carbonell
JMLR
2010
161views more  JMLR 2010»
14 years 4 months ago
Training and Testing Low-degree Polynomial Data Mappings via Linear SVM
Kernel techniques have long been used in SVM to handle linearly inseparable problems by transforming data to a high dimensional space, but training and testing large data sets is ...
Yin-Wen Chang, Cho-Jui Hsieh, Kai-Wei Chang, Micha...
ECML
2006
Springer
15 years 1 months ago
Sequence Discrimination Using Phase-Type Distributions
Abstract We propose in this paper a novel approach to the classification of discrete sequences. This approach builds a model fitting some dynamical features deduced from the learni...
Jérôme Callut, Pierre Dupont
ICIP
2007
IEEE
15 years 4 months ago
Local Feature Extraction for Image Super-Resolution
The problem of image super-resolution from a set of low resolution multiview images has recently received much attention and can be decomposed, at least conceptually, into two con...
Loïc Baboulaz, Pier Luigi Dragotti
BMCBI
2007
135views more  BMCBI 2007»
14 years 10 months ago
LIMPIC: a computational method for the separation of protein MALDI-TOF-MS signals from noise
Background: Mass spectrometry protein profiling is a promising tool for biomarker discovery in clinical proteomics. However, the development of a reliable approach for the separat...
Dante Mantini, Francesca Petrucci, Damiana Pierago...