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» Structured Local Predictors for image labelling
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CVPR
2012
IEEE
9 years 3 months ago
Structured Local Predictors for image labelling
In this paper we introduce Structured Local Predictors (SLP) – A new formulation that considers the image labelling problem from a structured learning point of view. SLP are loc...
Samuel Rota Bulò, Peter Kontschieder, Marce...
ICPR
2004
IEEE
12 years 2 months ago
Relaxation Labeling Processes for Protein Secondary Structure Prediction
The prediction of protein secondary structure is a classical problem in bioinformatics, and in the past few years several machine learning techniques have been proposed to t. From...
Giacomo Colle, Marcello Pelillo
CVPR
2011
IEEE
10 years 8 months ago
Learning structured prediction models for interactive image labeling
We propose structured models for image labeling that take into account the dependencies among the image labels explicitly. These models are more expressive than independent label ...
Thomas Mensink, Jakob Verbeek, Gabriela Csurka
ICIP
2005
IEEE
12 years 3 months ago
Lossless image compression using an edge adapted lifting predictor
Abstract- We present a novel and computationally simple prediction stage in a Daubechies 5/3 ? like lifting structure for lossless image compression. In the 5/3 wavelet, the predic...
Ömer Nezih Gerek, A. Enis Çetin
ICANN
2010
Springer
11 years 2 months ago
A Learned Saliency Predictor for Dynamic Natural Scenes
Abstract. We investigate the extent to which eye movements in natural dynamic scenes can be predicted with a simple model of bottom-up saliency, which learns on different visual re...
Eleonora Vig, Michael Dorr, Thomas Martinetz, Erha...
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