Sciweavers

1585 search results - page 58 / 317
» Using a Non-prior Training Active Feature Model
Sort
View
ICASSP
2009
IEEE
15 years 11 months ago
Microarray classification using block diagonal linear discriminant analysis with embedded feature selection
In this paper, block diagonal linear discriminant analysis (BDLDA) is improved and applied to gene expression data. BDLDA is a classification tool with embedded feature selection...
Lingyan Sheng, Roger Pique-Regi, Shahab Asgharzade...
ICASSP
2010
IEEE
15 years 2 months ago
A comparison of approaches for modeling prosodic features in speaker recognition
Prosodic information has been successfully used for speaker recognition for more than a decade. The best-performing prosodic system to date has been one based on features extracte...
Luciana Ferrer, Nicolas Scheffer, Elizabeth Shribe...
ICMI
2009
Springer
188views Biometrics» more  ICMI 2009»
15 years 1 months ago
Detecting user engagement with a robot companion using task and social interaction-based features
Affect sensitivity is of the utmost importance for a robot companion to be able to display socially intelligent behaviour, a key requirement for sustaining long-term interactions ...
Ginevra Castellano, André Pereira, Iolanda ...
ECCV
2008
Springer
15 years 5 months ago
Active Matching
Abstract. In the matching tasks which form an integral part of all types of tracking and geometrical vision, there are invariably priors available on the absolute and/or relative i...
Margarita Chli, Andrew J. Davison
158
Voted
CVIU
2006
222views more  CVIU 2006»
15 years 4 months ago
Conditional models for contextual human motion recognition
We present algorithms for recognizing human motion in monocular video sequences, based on discriminative Conditional Random Field (CRF) and Maximum Entropy Markov Models (MEMM). E...
Cristian Sminchisescu, Atul Kanaujia, Dimitris N. ...