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» Incorporating prior knowledge in support vector regression
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ICPR
2002
IEEE
14 years 9 months ago
Incorporating Conditional Independence Assumption with Support Vector Machines to Enhance Handwritten Character Segmentation Per
Learning Bayesian Belief Networks (BBN) from corpora and incorporating the extracted inferring knowledge with a Support Vector Machines (SVM) classifier has been applied to charac...
Manolis Maragoudakis, Ergina Kavallieratou, Nikos ...
ACCV
2010
Springer
13 years 3 months ago
Efficient Structured Support Vector Regression
Support Vector Regression (SVR) has been a long standing problem in machine learning, and gains its popularity on various computer vision tasks. In this paper, we propose a structu...
Ke Jia, Lei Wang, Nianjun Liu
ICPR
2008
IEEE
14 years 3 months ago
Estimating the readability of handwritten text - a Support Vector Regression based approach
This paper presents a new approach to estimating the readability of handwritten text. The estimation task is posed as a regression problem. A novel Support Vector Regression (SVR)...
Andreas Schlapbach, Frank Wettstein, Horst Bunke
PSIVT
2009
Springer
139views Multimedia» more  PSIVT 2009»
14 years 3 months ago
Recognizing Multiple Objects via Regression Incorporating the Co-occurrence of Categories
Abstract. Most previous methods for generic object recognition explicitly or implicitly assume that an image contains objects from a single category, although objects from multiple...
Takahiro Okabe, Yuhi Kondo, Kris M. Kitani, Yoichi...
IJDMB
2008
132views more  IJDMB 2008»
13 years 8 months ago
A Bayesian framework for knowledge driven regression model in micro-array data analysis
: This paper addresses the sparse data problem in the linear regression model, namely the number of variables is significantly larger than the number of the data points for regress...
Rong Jin, Luo Si, Christina Chan