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» Image Based Regression Using Boosting Method
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129
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ACL
2006
15 years 3 months ago
Approximation Lasso Methods for Language Modeling
Lasso is a regularization method for parameter estimation in linear models. It optimizes the model parameters with respect to a loss function subject to model complexities. This p...
Jianfeng Gao, Hisami Suzuki, Bin Yu
120
Voted
ICML
2006
IEEE
16 years 2 months ago
An empirical comparison of supervised learning algorithms
A number of supervised learning methods have been introduced in the last decade. Unfortunately, the last comprehensive empirical evaluation of supervised learning was the Statlog ...
Rich Caruana, Alexandru Niculescu-Mizil
ICIP
2009
IEEE
16 years 3 months ago
Age Regression From Faces Using Random Forests
Predicting the age of a person through face image analysis holds the potential to drive an extensive array of real world applications from human computer interaction and security ...
145
Voted
WWW
2011
ACM
14 years 9 months ago
Learning to re-rank: query-dependent image re-ranking using click data
Our objective is to improve the performance of keyword based image search engines by re-ranking their baseline results. To this end, we address three limitations of existing searc...
Vidit Jain, Manik Varma
ICASSP
2007
IEEE
15 years 8 months ago
Kernel Resolution Synthesis for Superresolution
Abstract— This work considers a combination classificationregression based framework with the proposal of using learned kernels in modified support vector regression to provide...
Karl S. Ni, Truong Nguyen