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» Unsupervised extraction of audio-visual objects
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ICCV
2005
IEEE
14 years 7 months ago
Modeling Scenes with Local Descriptors and Latent Aspects
We present a new approach to model visual scenes in image collections, based on local invariant features and probabilistic latent space models. Our formulation provides answers to...
Pedro Quelhas, Florent Monay, Jean-Marc Odobez, Da...
ICB
2007
Springer
183views Biometrics» more  ICB 2007»
13 years 9 months ago
Robust Point-Based Feature Fingerprint Segmentation Algorithm
Abstract. A critical step in automatic fingerprint recognition is the accurate segmentation of fingerprint images. The objective of fingerprint segmentation is to decide which part...
Chaohong Wu, Sergey Tulyakov, Venu Govindaraju
ICIP
2002
IEEE
14 years 6 months ago
An automatic scheme for stereoscopic video object-based watermarking using qualified significant wavelet trees
In this paper a fully automatic system for embedding visually recognizable watermark patterns to video objects is proposed. The architecture consists of 3 main modules. During the...
Nikolaos D. Doulamis, Anastasios D. Doulamis, Stef...
BMCBI
2010
155views more  BMCBI 2010»
13 years 5 months ago
A flexible R package for nonnegative matrix factorization
Background: Nonnegative Matrix Factorization (NMF) is an unsupervised learning technique that has been applied successfully in several fields, including signal processing, face re...
Renaud Gaujoux, Cathal Seoighe
ITCC
2005
IEEE
13 years 11 months ago
Mining Biomedical Images with Density-Based Clustering
Density-based clustering algorithms have recently gained popularity in the data mining field due to their ability to discover arbitrary shaped clusters while preserving spatial pr...
M. Emre Celebi, Y. Alp Aslandogan, Paul R. Bergstr...