This paper presents an unsupervised learning approach to video-based face recognition that does not make any assumptions about the pose, expressions or prior localization of landm...
Automatic facial feature localization has been a longstanding challenge in the field of computer vision for several decades. This can be explained by the large variation a face i...
Minh Hoai Nguyen, Joan Perez, Fernando De la Torre
A huge amount of data and metadata emerges from Web 2.0 applications which have transformed the Web to a mass social interaction and collaboration medium. Collaborative Tagging Sy...
Eirini Giannakidou, Ioannis Kompatsiaris, Athena V...
This paper proposes an innovative methodology to perform and validate a Failure Mode and Effects Analysis (FMEA) at System-on-Chip (SoC) level. This is done in compliance with the...
Most up-to-date well-behaved topic-based summarization systems are built upon the extractive framework. They score the sentences based on the associated features by manually assig...