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ICASSP
2010
IEEE
13 years 8 months ago
Hierarchical dictionary learning for invariant classification
Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transform...
Leah Bar, Guillermo Sapiro
ICIP
2001
IEEE
14 years 9 months ago
Efficient feature extraction for 2D/3D objects in mesh representation
Meshes are dominantly used to represent 3D models as they fit well with graphics rendering hardware. Features such as volume, moments, and Fourier transform coefficients need to b...
Cha Zhang, Tsuhan Chen
ICTAI
2007
IEEE
14 years 2 months ago
Photometric Invariant Projective Registration Using ECC Maximization
The ability of an algorithm to accurately estimate the parameters of the geometric transformation which aligns two image profiles even in the presence of photometric distortions ...
Georgios D. Evangelidis, Emmanouil Z. Psarakis
NIPS
2003
13 years 9 months ago
Learning to Find Pre-Images
We consider the problem of reconstructing patterns from a feature map. Learning algorithms using kernels to operate in a reproducing kernel Hilbert space (RKHS) express their solu...
Gökhan H. Bakir, Jason Weston, Bernhard Sch&o...
ICPR
2000
IEEE
14 years 9 months ago
Content-Based Watermarking Model
In this paper, we propose a new general additive watermarking model based on the content of digital images, called as CBWM (Content-Based Watermarking Model). It provides a common...
Ruizhen Liu, Tieniu Tan