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» Nonlinear image representation using divisive normalization
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NECO
1998
151views more  NECO 1998»
13 years 7 months ago
Nonlinear Component Analysis as a Kernel Eigenvalue Problem
We describe a new method for performing a nonlinear form of Principal Component Analysis. By the use of integral operator kernel functions, we can e ciently compute principal comp...
Bernhard Schölkopf, Alex J. Smola, Klaus-Robe...
ICCAD
2001
IEEE
124views Hardware» more  ICCAD 2001»
14 years 4 months ago
Partition-Based Decision Heuristics for Image Computation Using SAT and BDDs
Methods based on Boolean satisfiability (SAT) typically use a Conjunctive Normal Form (CNF) representation of the Boolean formula, and exploit the structure of the given problem ...
Aarti Gupta, Zijiang Yang, Pranav Ashar, Lintao Zh...
SAC
2005
ACM
14 years 1 months ago
Estimating manifold dimension by inversion error
Video and image datasets can often be described by a small number of parameters, even though each image usually consists of hundreds or thousands of pixels. This observation is of...
Shawn Martin, Alex Bäcker
ICASSP
2007
IEEE
14 years 1 months ago
Morphological Diversity and Sparse Image Denoising
Overcomplete representations are attracting interest in image processing theory, particularly due to their potential to generate sparse representations of data based on their morp...
Mohamed-Jalal Fadili, Jean-Luc Starck, Larbi Boubc...
ISBI
2004
IEEE
14 years 8 months ago
A Deformable Brodmann Area Atlas
Functional MRI studies commonly refer to activation patterns as being localized in specific Brodmann areas, referring to Brodmann's divisions of the human cortex based on cyt...
Paul Rasser, Philip Ward, Patrick Johnston, Paul M...