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» Some Methods of Replacing the Nearest Neighbor Method
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PRL
2006
146views more  PRL 2006»
13 years 9 months ago
Boosting the distance estimation: Application to the K-Nearest Neighbor Classifier
In this work we introduce a new distance estimation technique by boosting and we apply it to the K-Nearest Neighbor Classifier (KNN). Instead of applying AdaBoost to a typical cla...
Jaume Amores, Nicu Sebe, Petia Radeva
ETVC
2008
13 years 10 months ago
Sparse Multiscale Patches for Image Processing
Abstract. This paper presents a framework to define an objective measure of the similarity (or dissimilarity) between two images for image processing. The problem is twofold: 1) de...
Paolo Piro, Sandrine Anthoine, Eric Debreuve, Mich...
ICMCS
1999
IEEE
119views Multimedia» more  ICMCS 1999»
14 years 1 months ago
Indexing by Shape of Image Databases Based on Extended Grid Files
In this paper, we propose an original indexing by shape of image databases based on extended grid files. We first introduce a recently developed shape description method and tailo...
Carlo Combi, Gian Luca Foresti, Massimo Francesche...
VLSISP
2010
254views more  VLSISP 2010»
13 years 7 months ago
Manifold Based Local Classifiers: Linear and Nonlinear Approaches
Abstract In case of insufficient data samples in highdimensional classification problems, sparse scatters of samples tend to have many ‘holes’—regions that have few or no nea...
Hakan Cevikalp, Diane Larlus, Marian Neamtu, Bill ...
ICIP
2006
IEEE
14 years 10 months ago
An Efficient Method for the Removal of Impulse Noise
A computationally efficient algorithm is proposed to remove noise impulses from speech and audio signals while retaining its features and tonal quality. The proposed method is bas...
Wenbin Luo, Dung Dang