Sciweavers

113 search results - page 5 / 23
» Learning Optimal Embedded Cascades
Sort
View
ICCV
2005
IEEE
14 years 8 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
ACCV
2009
Springer
13 years 9 months ago
Head Pose Estimation Based on Manifold Embedding and Distance Metric Learning
In this paper, we propose an embedding method to seek an optimal low-dimensional manifold describing the intrinsical pose variations and to provide an identity-independent head pos...
Xiangyang Liu, Hongtao Lu, Daqiang Zhang
CVPR
2005
IEEE
13 years 12 months ago
Robust Face Detection with Multi-Class Boosting
With the aim to design a general learning framework for detecting faces of various poses or under different lighting conditions, we are motivated to formulate the task as a classi...
Yen-Yu Lin, Tyng-Luh Liu
ICML
2008
IEEE
14 years 7 months ago
Metric embedding for kernel classification rules
In this paper, we consider a smoothing kernelbased classification rule and propose an algorithm for optimizing the performance of the rule by learning the bandwidth of the smoothi...
Bharath K. Sriperumbudur, Omer A. Lang, Gert R. G....
DATE
2000
IEEE
112views Hardware» more  DATE 2000»
13 years 10 months ago
The Road to Better Reliability and Yield Embedded DfM Tools
This paper gives an overview of the different tools, needed for accomplishing optimal IC manufacturability and rapid technology learning during the successive phases of process ma...
Kees Veelenturf