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EMNLP
2010
13 years 3 months ago
Confidence in Structured-Prediction Using Confidence-Weighted Models
Confidence-Weighted linear classifiers (CW) and its successors were shown to perform well on binary and multiclass NLP problems. In this paper we extend the CW approach for sequen...
Avihai Mejer, Koby Crammer
NIPS
2008
13 years 6 months ago
Exact Convex Confidence-Weighted Learning
Confidence-weighted (CW) learning [6], an online learning method for linear classifiers, maintains a Gaussian distributions over weight vectors, with a covariance matrix that repr...
Koby Crammer, Mark Dredze, Fernando Pereira
DCC
2010
IEEE
13 years 10 months ago
Auto Regressive Model and Weighted Least Squares Based Packet Video Error Concealment
In this paper, auto regressive (AR) model is applied to error concealment for block-based packet video encoding. Each pixel within the corrupted block is restored as the weighted ...
Yongbing Zhang, Xinguang Xiang, Siwei Ma, Debin Zh...
CGF
2008
262views more  CGF 2008»
13 years 5 months ago
Global Correspondence Optimization for Non-Rigid Registration of Depth Scans
We present a registration algorithm for pairs of deforming and partial range scans that addresses the challenges of non-rigid registration within a single non-linear optimization....
Hao Li, Robert W. Sumner, Mark Pauly
ESWA
2006
122views more  ESWA 2006»
13 years 5 months ago
Transmembrane segments prediction and understanding using support vector machine and decision tree
In recent years, there have been many studies focusing on improving the accuracy of prediction of transmembrane segments, and many significant results have been achieved. In spite...
Jieyue He, Hae-Jin Hu, Robert W. Harrison, Phang C...