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» Estimating Vision Parameters given Data with Covariances
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ECCV
2004
Springer
14 years 22 days ago
Pose Invariant Face Recognition Under Arbitrary Unknown Lighting Using Spherical Harmonics
Abstract. We propose a new method for face recognition under arbitrary pose and illumination conditions, which requires only one training image per subject. Furthermore, no limitat...
Lei Zhang 0002, Dimitris Samaras
HRI
2007
ACM
13 years 11 months ago
Efficient model learning for dialog management
Intelligent planning algorithms such as the Partially Observable Markov Decision Process (POMDP) have succeeded in dialog management applications [10, 11, 12] because of their rob...
Finale Doshi, Nicholas Roy
BMCBI
2007
147views more  BMCBI 2007»
13 years 7 months ago
Statistical significance of quantitative PCR
Background: PCR has the potential to detect and precisely quantify specific DNA sequences, but it is not yet often used as a fully quantitative method. A number of data collection...
Yann Karlen, Alan McNair, Sébastien Persegu...
IJCV
1998
105views more  IJCV 1998»
13 years 7 months ago
Robust Algorithms for Object Localization
Object localization using sensed data features and corresponding model features is a fundamental problem in machine vision. We reformulate object localization as a least squares p...
Aaron S. Wallack, Dinesh Manocha
BMCBI
2010
118views more  BMCBI 2010»
13 years 7 months ago
Towards realistic benchmarks for multiple alignments of non-coding sequences
Background: With the continued development of new computational tools for multiple sequence alignment, it is necessary today to develop benchmarks that aid the selection of the mo...
Jaebum Kim, Saurabh Sinha