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WACV
2007
IEEE
16 years 12 days ago
Probabilistic Hierarchical Face Model for Feature Localization
Facial feature localization is an important research area in both computer vision and pattern analysis. We present in this paper a hierarchical face model. It unifies both the gl...
Feng Tang, Jin Wang, Hai Tao, Qunsheng Peng
162
Voted
PCM
2004
Springer
127views Multimedia» more  PCM 2004»
15 years 11 months ago
Using a Non-prior Training Active Feature Model
This paper presents a feature point tracking algorithm using optical flow under the non-prior training active feature model (NPTAFM) framework. The proposed algorithm mainly focus...
Sangjin Kim, Jinyoung Kang, Jeongho Shin, Seongwon...
ECBS
2004
IEEE
129views Hardware» more  ECBS 2004»
15 years 10 months ago
Using Feature Modeling for Program Comprehension and Software Architecture Recovery
: The available evidence in a legacy software system, which can help in its understanding and recovery of its architecture are not always sufficient. Very often the system's d...
Ilian Pashov, Matthias Riebisch
ICCS
2009
Springer
16 years 21 days ago
Querying for Feature Extraction and Visualization in Climate Modeling
The ultimate goal of data visualization is to clearly portray features relevant to the problem being studied. This goal can be realized only if users can effectively communicate t...
C. Ryan Johnson, Markus Glatter, Wesley Kendall, J...
ICASSP
2011
IEEE
14 years 10 months ago
Integrating articulatory features using Kullback-Leibler divergence based acoustic model for phoneme recognition
In this paper, we propose a novel framework to integrate articulatory features (AFs) into HMM- based ASR system. This is achieved by using posterior probabilities of different AFs...
Ramya Rasipuram, Magimai.-Doss Mathew