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ICML
2007
IEEE
16 years 4 months ago
Scalable training of L1-regularized log-linear models
The l-bfgs limited-memory quasi-Newton method is the algorithm of choice for optimizing the parameters of large-scale log-linear models with L2 regularization, but it cannot be us...
Galen Andrew, Jianfeng Gao
134
Voted
RECOMB
2006
Springer
16 years 4 months ago
Simple and Fast Inverse Alignment
For as long as biologists have been computing alignments of sequences, the question of what values to use for scoring substitutions and gaps has persisted. While some choices for s...
John D. Kececioglu, Eagu Kim
131
Voted
ICRA
2007
IEEE
160views Robotics» more  ICRA 2007»
15 years 10 months ago
CRF-Filters: Discriminative Particle Filters for Sequential State Estimation
Abstract— Particle filters have been applied with great success to various state estimation problems in robotics. However, particle filters often require extensive parameter tw...
Benson Limketkai, Dieter Fox, Lin Liao
135
Voted
SMI
2006
IEEE
15 years 9 months ago
Semi-Interactive Morphogenesis
This paper presents a method to simulate growth phenomena, and its application to the modeling of complex organic shapes (e.g., plants organs) and folded surfaces. Our main contri...
Jean Combaz, Fabrice Neyret
115
Voted
HAPTICS
2003
IEEE
15 years 9 months ago
The Haptic Probe: Mechanized Haptic Exploration and Automated Modeling
It seems likely that humans build internal models of objects that they explore haptically, and that the complexity of an internal model is not necessarily associated with complex ...
Volkan Patoglu, R. Brent Gillespie