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TCBB
2010
112views more  TCBB 2010»
15 years 1 months ago
A Study of Hierarchical and Flat Classification of Proteins
Automatic classification of proteins using machine learning is an important problem that has received significant attention in the literature. One feature of this problem is that e...
Arthur Zimek, Fabian Buchwald, Eibe Frank, Stefan ...
ICMCS
2009
IEEE
415views Multimedia» more  ICMCS 2009»
15 years 4 months ago
A new localized superpixel Markov random field for image segmentation
In this paper, we present a novel localized Markov random field (MRF) method based on superpixels for region segmentation. Early vision problems could be formulated as pixel label...
Xiaofeng Wang, Xiao-Ping Zhang
CORR
2006
Springer
146views Education» more  CORR 2006»
15 years 6 months ago
The Haar Wavelet Transform of a Dendrogram
While there is a very long tradition of approximating a data array by projecting row or column vectors into a lower dimensional subspace the direct approximation of a data matrix ...
Fionn Murtagh
RAS
2010
216views more  RAS 2010»
15 years 5 months ago
A nonparametric learning approach to range sensing from omnidirectional vision
We present a novel approach to estimating depth from single omnidirectional camera images by learning the relationship between visual features and range measurements available dur...
Christian Plagemann, Cyrill Stachniss, Jürgen...
ICPR
2004
IEEE
16 years 7 months ago
Dense Estimation of Surface Reflectance Properties Based on Inverse Global Illumination Rendering
In augmented virtuality, estimating object surface reflectance properties is important when rendering objects under arbitrary illuminationconditions. However, faithfully estimatin...
Takashi Machida, Haruo Takemura, Naokazu Yokoya