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ICPR
2004
IEEE
16 years 7 months ago
Adjustable Invariant Features by Partial Haar-Integration
A very common type of a-priori knowledge in pattern analysis problems is invariance of the input data with respect to transformation groups, e.g. geometric transformations of imag...
Alaa Halawani, Bernard Haasdonk, Hans Burkhardt
DCC
2007
IEEE
16 years 6 months ago
Lossless and Near-Lossless Audio Compression Using Integer-Reversible Modulated Lapped Transforms
We present a simple lossless audio codec, composed of an integer-reversible modulated lapped transform (MLT) followed by a backward-adaptive run-length/Golomb-Rice (RLGR) encoder....
Henrique S. Malvar
PKDD
2009
Springer
184views Data Mining» more  PKDD 2009»
16 years 1 months ago
Learning Preferences with Hidden Common Cause Relations
Abstract. Gaussian processes have successfully been used to learn preferences among entities as they provide nonparametric Bayesian approaches for model selection and probabilistic...
Kristian Kersting, Zhao Xu
ICASSP
2008
IEEE
16 years 1 months ago
Music preference learning with partial information
We consider the problem of online learning in a changing environment under sparse user feedback. Specifically, we address the classification of music types according to a user...
Yvonne Moh, Peter Orbanz, Joachim M. Buhmann
ICDM
2007
IEEE
138views Data Mining» more  ICDM 2007»
16 years 29 days ago
Bandit-Based Algorithms for Budgeted Learning
We explore the problem of budgeted machine learning, in which the learning algorithm has free access to the training examples’ labels but has to pay for each attribute that is s...
Kun Deng, Chris Bourke, Stephen D. Scott, Julie Su...