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DAGM
2011
Springer
12 years 7 months ago
Agnostic Domain Adaptation
The supervised learning paradigm assumes in general that both training and test data are sampled from the same distribution. When this assumption is violated, we are in the setting...
Alexander Vezhnevets, Joachim M. Buhmann
KDD
2007
ACM
139views Data Mining» more  KDD 2007»
14 years 8 months ago
Raising the baseline for high-precision text classifiers
Many important application areas of text classifiers demand high precision and it is common to compare prospective solutions to the performance of Naive Bayes. This baseline is us...
Aleksander Kolcz, Wen-tau Yih
ACMSE
2007
ACM
13 years 11 months ago
Change propagations in the maintenance of kernel-based software with a study on Linux
As a software system evolves to accommodate new features and repair bugs, changes are needed. Software components are interdependent, changes made to one component can require cha...
Liguo Yu, Srini Ramaswamy
JUCS
2006
83views more  JUCS 2006»
13 years 7 months ago
Ridge Orientation Estimation and Verification Algorithm for Fingerprint Enhancement
: Fingerprint image enhancement is a common and critical step in fingerprint recognition systems. To enhance the images, most of the existing enhancement algorithms use filtering t...
Li-min Liu, Tian-Shyr Dai
ICPR
2010
IEEE
13 years 5 months ago
Boosting Bayesian MAP Classification
In this paper we redefine and generalize the classic k-nearest neighbors (k-NN) voting rule in a Bayesian maximum-a-posteriori (MAP) framework. Therefore, annotated examples are u...
Paolo Piro, Richard Nock, Frank Nielsen, Michel Ba...