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ECCV
2006
Springer
14 years 10 months ago
Learning Discriminative Canonical Correlations for Object Recognition with Image Sets
Abstract. We address the problem of comparing sets of images for object recognition, where the sets may represent arbitrary variations in an object's appearance due to changin...
Tae-Kyun Kim, Josef Kittler, Roberto Cipolla
ALGORITHMICA
2010
106views more  ALGORITHMICA 2010»
13 years 8 months ago
Analysis of the Expected Number of Bit Comparisons Required by Quickselect
When algorithms for sorting and searching are applied to keys that are represented as bit strings, we can quantify the performance of the algorithms not only in terms of the numbe...
James Allen Fill, Takéhiko Nakama
TKDE
2011
479views more  TKDE 2011»
13 years 3 months ago
Learning Semi-Riemannian Metrics for Semisupervised Feature Extraction
—Discriminant feature extraction plays a central role in pattern recognition and classification. Linear Discriminant Analysis (LDA) is a traditional algorithm for supervised feat...
Wei Zhang, Zhouchen Lin, Xiaoou Tang
ICML
2002
IEEE
14 years 9 months ago
On generalization bounds, projection profile, and margin distribution
We study generalization properties of linear learning algorithms and develop a data dependent approach that is used to derive generalization bounds that depend on the margin distr...
Ashutosh Garg, Sariel Har-Peled, Dan Roth
SIGMOD
2010
ACM
176views Database» more  SIGMOD 2010»
14 years 1 months ago
DCUBE: discrimination discovery in databases
Discrimination discovery in databases consists in finding unfair practices against minorities which are hidden in a dataset of historical decisions. The DCUBE system implements t...
Salvatore Ruggieri, Dino Pedreschi, Franco Turini