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» Abduction in Classification Tasks
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ICPR
2004
IEEE
15 years 11 months ago
Probabilistic Combination of Multiple Modalities to Detect Interest
This paper describes a new approach to combine multiple modalities and applies it to the problem of affect recognition. The problem is posed as a combination of classifiers in a p...
Ashish Kapoor, Rosalind W. Picard, Yuri Ivanov
90
Voted
MICCAI
2007
Springer
15 years 11 months ago
Effectiveness of the Finite Impulse Response Model in Content-Based fMRI Image Retrieval
The thresholded t-map produced by the General Linear Model (GLM) gives an effective summary of activation patterns in functional brain images and is widely used for feature selecti...
Bing Bai, Paul B. Kantor, Ali Shokoufandeh
ICML
2003
IEEE
15 years 11 months ago
Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions
An approach to semi-supervised learning is proposed that is based on a Gaussian random field model. Labeled and unlabeled data are represented as vertices in a weighted graph, wit...
Xiaojin Zhu, Zoubin Ghahramani, John D. Lafferty
ICML
1996
IEEE
15 years 11 months ago
Learning Goal Oriented Bayesian Networks for Telecommunications Risk Management
This paper discusses issues related to Bayesian network model learning for unbalanced binary classification tasks. In general, the primary focus of current research on Bayesian ne...
Kazuo J. Ezawa, Moninder Singh, Steven W. Norton
CHI
2009
ACM
15 years 11 months ago
MicroRolls: expanding touch-screen input vocabulary by distinguishing rolls vs. slides of the thumb
The input vocabulary for touch--screen interaction on handhelds is dramatically limited, especially when the thumb must be used. To enrich that vocabulary we propose to discrimina...
Anne Roudaut, Eric Lecolinet, Yves Guiard