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125
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ICPR
2010
IEEE
15 years 10 months ago
Bayesian Inference for Nonnegative Matrix Factor Deconvolution Models
In this paper we develop a probabilistic interpretation and a full Bayesian inference for non-negative matrix deconvolution (NMFD) model. Our ultimate goal is unsupervised extract...
Serap Kirbiz, Ali Taylan Cemgil, Bilge Gunsel
MICCAI
2009
Springer
15 years 10 months ago
Conditional Variability of Statistical Shape Models Based on Surrogate Variables
We propose to increment a statistical shape model with surrogate variables such as anatomical measurements and patient-related information, allowing conditioning the shape distribu...
Rémi Blanc, Mauricio Reyes, Christof Seiler...
121
Voted
ICDM
2009
IEEE
146views Data Mining» more  ICDM 2009»
15 years 10 months ago
Induction of Mean Output Prediction Trees from Continuous Temporal Meteorological Data
: In this paper, we present a novel method for fast data-driven construction of regression trees from temporal datasets including continuous data streams. The proposed Mean Output ...
Dima Alberg, Mark Last, Roni Neuman, Avi Sharon
109
Voted
ICRA
2009
IEEE
121views Robotics» more  ICRA 2009»
15 years 10 months ago
Task-space trajectories via cubic spline optimization
Abstract— We consider the task of planning smooth trajectories for robot motion. In this paper we make two contributions. First we present a method for cubic spline optimization;...
J. Zico Kolter, Andrew Y. Ng
119
Voted
ISMVL
2009
IEEE
94views Hardware» more  ISMVL 2009»
15 years 10 months ago
Floating-Point Numerical Function Generators Using EVMDDs for Monotone Elementary Functions
This paper proposes a design method for floating-point numerical function generators (NFGs) using multi-valued decision diagrams (MDDs). Our method applies to monotone elementary...
Shinobu Nagayama, Tsutomu Sasao, Jon T. Butler