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» New Features to Identify Computer Generated Images
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ICPR
2008
IEEE
16 years 17 days ago
Categorization using semi-supervised clustering
Many applications require matching objects to a predefined, yet highly dynamic set of categories accompanied by category descriptions. We present a novel approach to solving this...
Jianying Hu, Moninder Singh, Aleksandra Mojsilovic
134
Voted
SIBGRAPI
2000
IEEE
15 years 10 months ago
Handwritten Digits Segmentation Based on Structural Approach
This article deals with a new segmentation approach applied to unconstrained handwritten digits. The novelty of the proposed algorithm is based on the combination of two types of s...
Luiz E. Soares de Oliveira, Edouard Lethelier, Fl&...
150
Voted
CGI
2004
IEEE
15 years 10 months ago
Real-Time Dynamic Wrinkles
This paper proposes a new method for designing dynamic wrinkles that appear and disappear according to the underlying deformation of tissues. The user positions and orients wrinkl...
Caroline Larboulette, Marie-Paule Cani
TASLP
2002
84views more  TASLP 2002»
15 years 5 months ago
Maximum likelihood multiple subspace projections for hidden Markov models
The first stage in many pattern recognition tasks is to generate a good set of features from the observed data. Usually, only a single feature space is used. However, in some compl...
Mark J. F. Gales
ECCV
2004
Springer
16 years 8 months ago
Dimensionality Reduction by Canonical Contextual Correlation Projections
A linear, discriminative, supervised technique for reducing feature vectors extracted from image data to a lower-dimensional representation is proposed. It is derived from classica...
Marco Loog, Bram van Ginneken, Robert P. W. Duin