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ISAAC
2009
Springer
175views Algorithms» more  ISAAC 2009»
15 years 4 months ago
Worst-Case and Smoothed Analysis of k-Means Clustering with Bregman Divergences
The k-means algorithm is the method of choice for clustering large-scale data sets and it performs exceedingly well in practice. Most of the theoretical work is restricted to the c...
Bodo Manthey, Heiko Röglin
98
Voted
EMNLP
2004
14 years 11 months ago
Calibrating Features for Semantic Role Labeling
This paper takes a critical look at the features used in the semantic role tagging literature and show that the information in the input, generally a syntactic parse tree, has yet...
Nianwen Xue, Martha Palmer
IPAS
2007
15 years 2 days ago
Multilevel surround inhibition: a biologically inspired contour detector
Canny edge detector is based both on local and global image analysis, present in the gradient computation and connectivity-related hysteresis thresholding, respectively. This cont...
Giuseppe Papari, Patrizio Campisi, Nicolai Petkov
ICIP
2008
IEEE
15 years 11 months ago
A near optimal coder for image geometry with adaptive partitioning
In this paper, we present a new framework to compress the geometry of images. This framework generalizes the standard quad partitioning approaches in compression of image geometry ...
Arian Maleki, Morteza Shahram, Gunnar Carlsson
CVIU
2007
137views more  CVIU 2007»
14 years 9 months ago
Visual learning of texture descriptors for facial expression recognition in thermal imagery
Facial expression recognition is an active research area that finds a potential application in human emotion analysis. This work presents an illumination independent approach for...
Benjamín Hernández, Gustavo Olague, ...