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CSDA
2006
304views more  CSDA 2006»
15 years 6 months ago
Using principal components for estimating logistic regression with high-dimensional multicollinear data
The logistic regression model is used to predict a binary response variable in terms of a set of explicative ones. The estimation of the model parameters is not too accurate and t...
Ana M. Aguilera, Manuel Escabias, Mariano J. Valde...
ICIP
2004
IEEE
16 years 8 months ago
Minimizing distortion for multi-path video streaming over ad hoc networks
We present a video distortion model analyzing the performance of multi-path routing for low latency video streaming, in congestion-limited ad hoc networks. In such environments, a...
Eric Setton, Xiaoqing Zhu, Bernd Girod
ECML
2007
Springer
16 years 23 days ago
Additive Groves of Regression Trees
We present a new regression algorithm called Additive Groves and show empirically that it is superior in performance to a number of other established regression methods. A single G...
Daria Sorokina, Rich Caruana, Mirek Riedewald
EMNLP
2008
15 years 8 months ago
Unsupervised Multilingual Learning for POS Tagging
We demonstrate the effectiveness of multilingual learning for unsupervised part-of-speech tagging. The key hypothesis of multilingual learning is that by combining cues from multi...
Benjamin Snyder, Tahira Naseem, Jacob Eisenstein, ...
CVPR
2011
IEEE
14 years 10 months ago
Shape Based Pedestrian Parsing
We describe a simple model for parsing pedestrians based on shape. Our model assembles candidate parts from an oversegmentation of the image and matches them to a library of exemp...
Yihang Bo, Charless Fowlkes