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NIPS
2007
13 years 11 months ago
Predicting Brain States from fMRI Data: Incremental Functional Principal Component Regression
We propose a method for reconstruction of human brain states directly from functional neuroimaging data. The method extends the traditional multivariate regression analysis of dis...
Sennay Ghebreab, Arnold W. M. Smeulders, Pieter W....
ICASSP
2010
IEEE
13 years 10 months ago
Automatic state discovery for unstructured audio scene classification
In this paper we present a novel scheme for unstructured audio scene classification that possesses three highly desirable and powerful features: autonomy, scalability, and robust...
Julian Ramos, Sajid M. Siddiqi, Artur Dubrawski, G...
CVIU
2008
109views more  CVIU 2008»
13 years 10 months ago
Performance vs computational efficiency for optimizing single and dynamic MRFs: Setting the state of the art with primal-dual st
In this paper we introduce a novel method to address minimization of static and dynamic MRFs. Our approach is based on principles from linear programming and, in particular, on pr...
Nikos Komodakis, Georgios Tziritas, Nikos Paragios
AAI
2005
106views more  AAI 2005»
13 years 10 months ago
The Empathic Companion: A Character-Based Interface That Addresses Users' Affective States
In this paper, we report on our efforts in developing affective character-based interfaces, i.e. interfaces that recognize and measure affective information of the user and addres...
Helmut Prendinger, Mitsuru Ishizuka
DMIN
2009
119views Data Mining» more  DMIN 2009»
13 years 8 months ago
Abnormal Process State Detection by Cluster Center Point Monitoring in BWR Nuclear Power Plant
This paper proposes a new method to detect abnormal process state. The method is based on cluster center point monitoring in time and is demonstrated in its application to data fro...
Jaakko Talonen, Miki Sirola