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CSDA
2006
304views more  CSDA 2006»
15 years 4 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 6 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
15 years 10 months 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 5 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 8 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