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» Minimality in a Linear Calculus with Iteration
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ICML
2010
IEEE
13 years 8 months ago
Learning Fast Approximations of Sparse Coding
In Sparse Coding (SC), input vectors are reconstructed using a sparse linear combination of basis vectors. SC has become a popular method for extracting features from data. For a ...
Karol Gregor, Yann LeCun
ICRA
2010
IEEE
135views Robotics» more  ICRA 2010»
13 years 6 months ago
Implicit nonlinear complementarity: A new approach to contact dynamics
— Contact dynamics are commonly formulated as a linear complementarity problem. While this approach is superior to earlier spring-damper models, it can be inaccurate due to pyram...
Emanuel Todorov
SIGGRAPH
1993
ACM
13 years 11 months ago
Interval methods for multi-point collisions between time-dependent curved surfaces
We present an efficient and robust algorithm for finding points of collision between time-dependent parametric and implicit surfaces. The algorithm detects simultaneous collisio...
John M. Snyder, Adam R. Woodbury, Kurt W. Fleische...
ICML
2006
IEEE
14 years 8 months ago
Totally corrective boosting algorithms that maximize the margin
We consider boosting algorithms that maintain a distribution over a set of examples. At each iteration a weak hypothesis is received and the distribution is updated. We motivate t...
Gunnar Rätsch, Jun Liao, Manfred K. Warmuth
SIAMSC
2010
116views more  SIAMSC 2010»
13 years 6 months ago
Recursively Accelerated Multilevel Aggregation for Markov Chains
A recursive acceleration method is proposed for multiplicative multilevel aggregation algorithms that calculate the stationary probability vector of large, sparse, and irreducible ...
Hans De Sterck, K. Miller, G. Sanders, M. Winlaw