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ICCV
2005
IEEE
15 years 11 months ago
Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Zhuowen Tu
ICCAD
1998
IEEE
105views Hardware» more  ICCAD 1998»
15 years 2 months ago
Fanout optimization under a submicron transistor-level delay model
In this paper we present a new fanout optimization algorithm which is particularly suitable for digital circuits designed with submicron CMOS technologies. Restricting the class o...
Pasquale Cocchini, Massoud Pedram, Gianluca Piccin...
ICIP
2010
IEEE
14 years 7 months ago
Building Emerging Pattern (EP) Random forest for recognition
The Random forest classifier comes to be the working horse for visual recognition community. It predicts the class label of an input data by aggregating the votes of multiple tree...
Liang Wang, Yizhou Wang, Debin Zhao
AI
2010
Springer
14 years 10 months ago
Implementing logical connectives in constraint programming
Combining constraints using logical connectives such as disjunction is ubiquitous in constraint programming, because it adds considerable expressive power to a constraint language...
Christopher Jefferson, Neil C. A. Moore, Peter Nig...
ICMCS
2008
IEEE
150views Multimedia» more  ICMCS 2008»
15 years 4 months ago
Scalable video adaptation optimization using soft decision scheme
Video transmission over a heterogeneous network suffers a condition that it has required to satisfy many different constraints because of the variety limitations of client equipme...
Chia-Ho Pan, Sheng-Chieh Huang, I-Hsien Lee, Chung...