Sciweavers

2925 search results - page 362 / 585
» Input Modeling Using Quantile Statistical Methods
Sort
View
92
Voted
ICML
2010
IEEE
15 years 1 months ago
Learning the Linear Dynamical System with ASOS
We develop a new algorithm, based on EM, for learning the Linear Dynamical System model. Called the method of Approximated Second-Order Statistics (ASOS) our approach achieves dra...
James Martens
86
Voted
DPHOTO
2009
126views Hardware» more  DPHOTO 2009»
14 years 10 months ago
Measuring texture sharpness of a digital camera
A method for evaluating texture quality as shot by a camera is presented. It is shown that usual sharpness measurements are not completely satisfying for this task. A new target b...
Frédéric Cao, Frederic Guichard, Her...
98
Voted
SMA
2006
ACM
225views Solid Modeling» more  SMA 2006»
15 years 6 months ago
Feature sensitive mesh segmentation
Segmenting meshes into natural regions is useful for model understanding and many practical applications. In this paper, we present a novel, automatic algorithm for segmenting me...
Yu-Kun Lai, Qian-Yi Zhou, Shi-Min Hu, Ralph R. Mar...
103
Voted
IDA
2010
Springer
15 years 2 months ago
Oracle Coached Decision Trees and Lists
This paper introduces a novel method for obtaining increased predictive performance from transparent models in situations where production input vectors are available when building...
Ulf Johansson, Cecilia Sönströd, Tuve L&...
KDD
2007
ACM
148views Data Mining» more  KDD 2007»
16 years 29 days ago
Scalable look-ahead linear regression trees
Most decision tree algorithms base their splitting decisions on a piecewise constant model. Often these splitting algorithms are extrapolated to trees with non-constant models at ...
David S. Vogel, Ognian Asparouhov, Tobias Scheffer