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» Combinations of Weak Classifiers
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TDSC
2010
160views more  TDSC 2010»
13 years 4 months ago
Dual-Quorum: A Highly Available and Consistent Replication System for Edge Services
This paper introduces dual-quorum replication, a novel data replication algorithm designed to support Internet edge services. Edge services allow clients to access Internet service...
Lei Gao, Michael Dahlin, Jiandan Zheng, Lorenzo Al...
TIP
2010
94views more  TIP 2010»
13 years 4 months ago
User-Friendly Interactive Image Segmentation Through Unified Combinatorial User Inputs
One weakness in the existing interactive image segmentation algorithms is the lack of more intelligent ways to understand the intention of user inputs. In this paper, we advocate t...
Wenxian Yang, Jianfei Cai, Jianmin Zheng, Jiebo Lu...
CORR
2011
Springer
193views Education» more  CORR 2011»
13 years 1 months ago
The Rate of Convergence of AdaBoost
The AdaBoost algorithm was designed to combine many “weak” hypotheses that perform slightly better than random guessing into a “strong” hypothesis that has very low error....
Indraneel Mukherjee, Cynthia Rudin, Robert E. Scha...
ICASSP
2011
IEEE
13 years 1 months ago
Application specific loss minimization using gradient boosting
Gradient boosting is a flexible machine learning technique that produces accurate predictions by combining many weak learners. In this work, we investigate its use in two applica...
Bin Zhang, Abhinav Sethy, Tara N. Sainath, Bhuvana...
IACR
2011
112views more  IACR 2011»
12 years 9 months ago
A Domain Transformation for Structure-Preserving Signatures on Group Elements
We present a generic transformation that allows us to use a large class of pairing-based signatures to construct schemes for signing group elements in a structure preserving way. A...
Melissa Chase, Markulf Kohlweiss