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» Using feature models to automate model transformations
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TIP
2008
205views more  TIP 2008»
15 years 4 months ago
Image Denoising Using Derotated Complex Wavelet Coefficients
A method for removing additive Gaussian noise from digital images is described. It is based on statistical modeling of the coefficients of a redundant, oriented, complex multiscale...
Mark Miller, Nick G. Kingsbury
TIP
2010
312views more  TIP 2010»
15 years 3 months ago
A Novel Multiresolution Spatiotemporal Saliency Detection Model and Its Applications in Image and Video Compression
—Salient areas in natural scenes are generally regarded as areas which the human eye will typically focus on, and finding these areas is the key step in object detection. In com...
Chenlei Guo, Liming Zhang
MICAI
2007
Springer
15 years 10 months ago
An EM Algorithm to Learn Sequences in the Wavelet Domain
The wavelet transform has been used for feature extraction in many applications of pattern recognition. However, in general the learning algorithms are not designed taking into acc...
Diego H. Milone, Leandro E. Di Persia
POPL
2004
ACM
16 years 5 months ago
Incremental execution of transformation specifications
We aim to specify program transformations in a declarative style, and then to generate executable program transformers from such specifications. Many transformations require non-t...
Ganesh Sittampalam, Oege de Moor, Ken Friis Larsen
IJCNLP
2004
Springer
15 years 10 months ago
A Study of Semi-discrete Matrix Decomposition for LSI in Automated Text Categorization
Abstract. This paper proposes the use of Latent Semantic Indexing (LSI) techniques, decomposed with semi-discrete matrix decomposition (SDD) method, for text categorization. The SD...
Qiang Wang, Xiaolong Wang, Guan Yi