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» Non-linear Mapping for Feature Extraction
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EUROGRAPHICS
2010
Eurographics
14 years 10 months ago
Scalable Height Field Self-Shadowing
We present a new method suitable for general purpose graphics processing units to render self-shadows on dynamic height fields under dynamic light environments in real-time. Visib...
Ville Timonen and Jan Westerholm
BMVC
2001
15 years 2 days ago
A SOM Based Approach to Skin Detection with Application in Real Time Systems
A large body of human image processing techniques use skin detection as a first primitive for subsequent feature extraction. Well established methods of colour modelling, such as...
David A. Brown, Ian Craw, Julian Lewthwaite
78
Voted
NAR
2008
100views more  NAR 2008»
14 years 9 months ago
The H-Invitational Database (H-InvDB), a comprehensive annotation resource for human genes and transcripts
Here we report the new features and improvements in our latest release of the H-Invitational Database (H-InvDB; http://www.h-invitational.jp/), a comprehensive annotation resource...
ICML
2004
IEEE
15 years 10 months ago
Training conditional random fields via gradient tree boosting
Conditional Random Fields (CRFs; Lafferty, McCallum, & Pereira, 2001) provide a flexible and powerful model for learning to assign labels to elements of sequences in such appl...
Thomas G. Dietterich, Adam Ashenfelter, Yaroslav B...
CIRA
2007
IEEE
151views Robotics» more  CIRA 2007»
15 years 4 months ago
Image Clustering Using Visual and Text Keywords
Abstract—In classical image classification approaches, lowlevel features have been used. But the high dimensionality of feature spaces poses a challenge in terms of feature selec...
Rajeev Agrawal, Changhua Wu, William I. Grosky, Fa...