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ECCV
2008
Springer
15 years 11 months ago
Weakly Supervised Object Localization with Stable Segmentations
Multiple Instance Learning (MIL) provides a framework for training a discriminative classifier from data with ambiguous labels. This framework is well suited for the task of learni...
Carolina Galleguillos, Boris Babenko, Andrew Rabin...
91
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ICCV
2009
IEEE
16 years 2 months ago
Scene Shape Priors for Superpixel Segmentation
Unsupervised over-segmentation of an image into superpixels is a common preprocessing step for image parsing algorithms. Superpixels are used as both regions of support for feat...
Alastair P. Moore, Simon J. D. Prince, Jonathan Wa...
ICIP
2008
IEEE
15 years 4 months ago
Frequential and color analysis for hair mask segmentation
In this paper, we present an automatic method for hair segmentation. Our algorithm is divided into two steps. Firstly, we take information from frequential and color analysis in o...
Cevahir Rousset, Pierre Yves Coulon
ACL
2009
14 years 7 months ago
An Error-Driven Word-Character Hybrid Model for Joint Chinese Word Segmentation and POS Tagging
In this paper, we present a discriminative word-character hybrid model for joint Chinese word segmentation and POS tagging. Our word-character hybrid model offers high performance...
Canasai Kruengkrai, Kiyotaka Uchimoto, Jun'ichi Ka...
CORR
2002
Springer
90views Education» more  CORR 2002»
14 years 9 months ago
Mostly-Unsupervised Statistical Segmentation of Japanese Kanji Sequences
Given the lack of word delimiters in written Japanese, word segmentation is generally considered a crucial first step in processing Japanese texts. Typical Japanese segmentation a...
Rie Kubota Ando, Lillian Lee