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» Learning the Relative Importance of Features in Image Data
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SCIA
2007
Springer
122views Image Analysis» more  SCIA 2007»
14 years 2 months ago
Individual Discriminative Face Recognition Models Based on Subsets of Features
Abstract. The accuracy of data classification methods depends considerably on the data representation and on the selected features. In this work, the elastic net model selection i...
Line Harder Clemmensen, David Delgado Gomez, Bjarn...
ICIAR
2010
Springer
14 years 1 months ago
Adaptation of SIFT Features for Robust Face Recognition
Abstract. The Scale Invariant Feature Transform (SIFT) is an algorithm used to detect and describe scale-, translation- and rotation-invariant local features in images. The origina...
Janez Krizaj, Vitomir Struc, Nikola Pavesic
SIGCSE
2005
ACM
109views Education» more  SIGCSE 2005»
14 years 2 months ago
Exploring XML for data exchange in the context of an undergraduate database curriculum
The relationship between XML and database management systems has become an important topic for coverage at the undergraduate level. This paper presents an approach to teaching the...
Suzanne W. Dietrich, Susan Darling Urban, Hua Ma, ...
NN
2008
Springer
152views Neural Networks» more  NN 2008»
13 years 8 months ago
Analysis of the IJCNN 2007 agnostic learning vs. prior knowledge challenge
We organized a challenge for IJCNN 2007 to assess the added value of prior domain knowledge in machine learning. Most commercial data mining programs accept data pre-formatted in ...
Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C...
ICIP
2008
IEEE
14 years 3 months ago
Wyner-ZIV coding of multiview images with unsupervised learning of disparity and Gray code
Wyner-Ziv coding of multiview images avoids communications between source cameras. To achieve good compression performance, the decoder must relate the source and side information...
David M. Chen, David P. Varodayan, Markus Flierl, ...