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ICML
2010
IEEE
13 years 8 months ago
Asymptotic Analysis of Generative Semi-Supervised Learning
Semi-supervised learning has emerged as a popular framework for improving modeling accuracy while controlling labeling cost. Based on an extension of stochastic composite likeliho...
Joshua Dillon, Krishnakumar Balasubramanian, Guy L...
CHI
2005
ACM
14 years 8 months ago
Measuring the effective parameters of steering motions
The steering law model describes pointing device motion through constrained paths. Previous uses of the model are deficient because they are built using only error-free responses,...
I. Scott MacKenzie, Sergey Kulikov, Wolfgang St&uu...
ICIP
2007
IEEE
14 years 2 months ago
Propagating Image-Level Part Statistics to Enhance Object Detection
The bag-of-words approach has become increasingly attractive in the fields of object category recognition and scene classification, witnessed by some successful applications [5, 7...
Sheng Gao, Joo-Hwee Lim, Qibin Sun
CANDC
2009
ACM
14 years 2 months ago
Growing and destroying the worth of ideas
This paper presents a novel computational approach to the study of creativity. In particular, it discusses a modeling framework that addresses the worth of ideas ascribed by agent...
Ricardo Sosa, John S. Gero, Kyle Jennings
PKDD
2010
Springer
212views Data Mining» more  PKDD 2010»
13 years 6 months ago
Cross Validation Framework to Choose amongst Models and Datasets for Transfer Learning
Abstract. One solution to the lack of label problem is to exploit transfer learning, whereby one acquires knowledge from source-domains to improve the learning performance in the t...
ErHeng Zhong, Wei Fan, Qiang Yang, Olivier Versche...