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» Opposite Fuzzy Sets with Applications in Image Processing
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ICASSP
2011
IEEE
14 years 3 months ago
Outlier-aware robust clustering
Clustering is a basic task in a variety of machine learning applications. Partitioning a set of input vectors into compact, wellseparated subsets can be severely affected by the p...
Pedro A. Forero, Vassilis Kekatos, Georgios B. Gia...
ICIP
2004
IEEE
16 years 1 months ago
Single-frame text super-resolution: a bayesian approach
We address the problem of text super-resolution: given a single image of text scanned in at low resolution from a piece of paper, return the image that is mostly likely to be gene...
Gerald Dalley, William T. Freeman, Joe Marks
ICCV
2003
IEEE
16 years 1 months ago
Dominant Sets and Hierarchical Clustering
Dominant sets are a new graph-theoretic concept that has proven to be relevant in partitional (flat) clustering as well as image segmentation problems. However, in many computer v...
Massimiliano Pavan, Marcello Pelillo
ICB
2007
Springer
156views Biometrics» more  ICB 2007»
15 years 6 months ago
Robust Extraction of Secret Bits from Minutiae
Abstract. Our goal is to extract consistent bits from the same fingerprint in a noisy environment. Such bits can then be used as a secret key in several cryptographic applications...
Ee-Chien Chang, Sujoy Roy
PAMI
2002
149views more  PAMI 2002»
14 years 11 months ago
Region Tracking via Level Set PDEs without Motion Computation
Tracking regions in an image sequence is a challenging and di cult problem in image processing and computer vision, and at the same time, one that has many important applications:...
Abdol-Reza Mansouri