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» Learning Mid-Level Features For Recognition
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MM
2006
ACM
93views Multimedia» more  MM 2006»
14 years 1 months ago
A scalable service for photo annotation, sharing, and search
In this work we present the details of the implementation of Fotofiti(FF), a website that provides automatic semantic annotation of digital photographs, event management and soci...
Benjamin N. Lee, WenYen Chen, Edward Y. Chang
BIBE
2003
IEEE
124views Bioinformatics» more  BIBE 2003»
14 years 28 days ago
Prediction of Contact Maps Using Support Vector Machines
Contact map prediction is of great interest for its application in fold recognition and protein 3D structure determination. In this paper we present a contact-map prediction algor...
Ying Zhao, George Karypis
ICPR
2004
IEEE
14 years 8 months ago
Neural Network-Based Proper Names Extraction in Fax Images
In this paper, we are interested in the sender's name extraction in fax cover pages through a machine learning scheme. For this purpose, two analysis methods are implemented ...
Laurence Likforman-Sulem, Noura Azzabou
ACL
2009
13 years 5 months ago
Stochastic Gradient Descent Training for L1-regularized Log-linear Models with Cumulative Penalty
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
Yoshimasa Tsuruoka, Jun-ichi Tsujii, Sophia Anania...
CVPR
2011
IEEE
13 years 3 months ago
Object Cosegmentation
Cosegmentation is typically defined as the task of jointly segmenting “something similar” in a given set of images. Existing methods are too generic and so far have not demon...
Sara Vicente, Carsten Rother, Vladimir Kolmogorov