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» Learning the Relative Importance of Features in Image Data
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ICIAP
2007
ACM
16 years 4 months ago
Video Biometrics
In this paper we propose multimodal fusion of super resolved texture (SRT) features and 3D shape features with acoustic features for 3D audio-video person authentication systems w...
Rama Chellappa, Gaurav Aggarwal
BMCBI
2004
133views more  BMCBI 2004»
15 years 4 months ago
Artificial neural network approach for selection of susceptible single nucleotide polymorphisms and construction of prediction m
Background: Screening of various gene markers such as single nucleotide polymorphism (SNP) and correlation between these markers and development of multifactorial disease have pre...
Yasuyuki Tomita, Shuta Tomida, Yuko Hasegawa, Yoic...
NIPS
1994
15 years 5 months ago
Combining Estimators Using Non-Constant Weighting Functions
This paper discusses the linearly weighted combination of estimators in which the weighting functions are dependent on the input. We show that the weighting functions can be deriv...
Volker Tresp, Michiaki Taniguchi
CSL
2010
Springer
15 years 4 months ago
Improving supervised learning for meeting summarization using sampling and regression
Meeting summarization provides a concise and informative summary for the lengthy meetings and is an effective tool for efficient information access. In this paper, we focus on ext...
Shasha Xie, Yang Liu
PSD
2004
Springer
108views Database» more  PSD 2004»
15 years 10 months ago
Developing Adoptable Disclosure Protection Techniques: Lessons Learned from a U.S. Experience
The development of new disclosure protection techniques is useful only insofar as those techniques are adopted by statistical agencies. In order for technical experts in disclosure...
Nicholas H. Greenia