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» Using stereo for object recognition
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113
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ICPR
2010
IEEE
15 years 1 months ago
2LDA: Segmentation for Recognition
Abstract—Following the trend of “segmentation for recognition”, we present 2LDA, a novel generative model to automatically segment an image in 2 segments, background and fore...
Alessandro Perina, Marco Cristani, Vittorio Murino
162
Voted
ICASSP
2008
IEEE
15 years 9 months ago
Unsupervised optimal phoneme segmentation: Objectives, algorithm and comparisons
Phoneme segmentation is a fundamental problem in many speech recognition and synthesis studies. Unsupervised phoneme segmentation assumes no knowledge on linguistic contents and a...
Yu Qiao, Naoya Shimomura, Nobuaki Minematsu
178
Voted
CIVR
2008
Springer
279views Image Analysis» more  CIVR 2008»
15 years 4 months ago
Semi-supervised learning of object categories from paired local features
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
Wen Wu, Jie Yang
136
Voted
CRV
2009
IEEE
158views Robotics» more  CRV 2009»
15 years 9 months ago
Automated Spatial-Semantic Modeling with Applications to Place Labeling and Informed Search
This paper presents a spatial-semantic modeling system featuring automated learning of object-place relations from an online annotated database, and the application of these relat...
Pooja Viswanathan, David Meger, Tristram Southey, ...
93
Voted
IV
2000
IEEE
94views Visualization» more  IV 2000»
15 years 7 months ago
Character Recognition of Arabic and Latin Scripts
The goal to produce effective Optical Character Recognition (OCR) methods has lead to the development of a number of algorithms. The purpose of these is to take the hand-written o...
Fiaz Hussain, John Cowell