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VMV
2001
101views Visualization» more  VMV 2001»
15 years 4 months ago
Multiresolution Implicit Object Modeling
In this paper we discuss two image-based 3D modeling methods based on a multi-resolution evolution of a volumetric function's levelset. In the former the role of the levelset...
Augusto Sarti, Stefano Tubaro
NIPS
2000
15 years 4 months ago
Incremental and Decremental Support Vector Machine Learning
An on-line recursive algorithm for training support vector machines, one vector at a time, is presented. Adiabatic increments retain the KuhnTucker conditions on all previously se...
Gert Cauwenberghs, Tomaso Poggio
108
Voted
UAI
1998
15 years 4 months ago
Learning Mixtures of DAG Models
We describe computationally efficient methods for learning mixtures in which each component is a directed acyclic graphical model (mixtures of DAGs or MDAGs). We argue that simple...
Bo Thiesson, Christopher Meek, David Maxwell Chick...
114
Voted
PPSC
1993
15 years 4 months ago
Parallel Preconditioning and Approximate Inverses on the Connection Machine
We present a new approach to preconditioning for very large, sparse, non-symmetric, linear systems. We explicitly compute an approximate inverse to our original matrix that can be...
Marcus J. Grote, Horst D. Simon
ICML
2010
IEEE
15 years 4 months ago
On Sparse Nonparametric Conditional Covariance Selection
We develop a penalized kernel smoothing method for the problem of selecting nonzero elements of the conditional precision matrix, known as conditional covariance selection. This p...
Mladen Kolar, Ankur P. Parikh, Eric P. Xing