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» Face recognition using mixtures of principal components
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ISPW
2008
IEEE
14 years 2 months ago
Integrating Joint Reviews with Automotive SPICE Assessments Results
The continuous changes in customer requirements as well as the ever-increasing market-driven demand of innovation makes automotive software projects success strongly dependent on t...
Fabrizio Fabbrini, Mario Fusani, Giuseppe Lami, Ed...
ICIAP
2003
ACM
14 years 25 days ago
Multi-block PCA method for image change detection
Principal component analyses (PCA) has been widely used in reduction of the dimensionality of datasets, classification, feature extraction, etc. It has been combined with many oth...
B. Qiu, Véronique Prinet, Edith Perrier, Ol...
IJCV
2000
136views more  IJCV 2000»
13 years 7 months ago
A Trainable System for Object Detection
This paper presents a general, trainable system for object detection in unconstrained, cluttered scenes. The system derives much of its power from a representation that describes a...
Constantine Papageorgiou, Tomaso Poggio
CLEF
2009
Springer
13 years 5 months ago
UAIC at ImageCLEF 2009 Photo Annotation Task
Abstract. The present article describes the system used for the our first participation in the imageCLEF 2009 Photo Annotation task. For the image classification we used four compo...
Adrian Iftene, Loredana Vamanu, Cosmina Croitoru
BMCBI
2010
125views more  BMCBI 2010»
13 years 7 months ago
NeatMap - non-clustering heat map alternatives in R
Background: The clustered heat map is the most popular means of visualizing genomic data. It compactly displays a large amount of data in an intuitive format that facilitates the ...
Satwik Rajaram, Yoshi Oono