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ICPR
2010
IEEE
14 years 10 months ago
High-Level Feature Extraction Using SIFT GMMs and Audio Models
—We propose a statistical framework for high-level feature extraction that uses SIFT Gaussian mixture models (GMMs) and audio models. SIFT features were extracted from all the im...
Nakamasa Inoue, Tatsuhiko Saito, Koichi Shinoda, S...
SPLC
2008
14 years 11 months ago
Automated Analysis of Feature Models Using Atomic Sets
Scalability is recognized as a key challenge in the automated analysis of Feature Models (FMs). Current solutions in this context mainly propose using different logic paradigms as...
Sergio Segura
FGR
2006
IEEE
155views Biometrics» more  FGR 2006»
15 years 1 months ago
Multi-Scale Primal Feature Based Facial Expression Modeling and Identification
In this paper, we present our newly developed face expression modeling system for expression analysis and identification. Given a face image at a front view, a realistic facial mo...
Lijun Yin, Xiaozhou Wei
CIVR
2004
Springer
186views Image Analysis» more  CIVR 2004»
15 years 1 months ago
Video Segmentation Using Hidden Markov Model with Multimodal Features
In this paper, a video segmentation algorithm based on Hidden Markov Model classifier with multimodal feature is proposed. By using Hidden Markov Model classifier with both audio a...
Tae Meon Bae, Sung Ho Jin, Yong Man Ro
CIKM
2008
Springer
14 years 11 months ago
Modeling document features for expert finding
We argue that expert finding is sensitive to multiple document features in an organization, and therefore, can benefit from the incorporation of these document features. We propos...
Jianhan Zhu, Dawei Song, Stefan M. Rüger, Xia...