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ICCV
2007
IEEE
15 years 4 months ago
Shape Priors using Manifold Learning Techniques
We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a category o...
Patrick Etyngier, Florent Ségonne, Renaud K...
99
Voted
NIPS
2008
14 years 11 months ago
Using Bayesian Dynamical Systems for Motion Template Libraries
Motor primitives or motion templates have become an important concept for both modeling human motor control as well as generating robot behaviors using imitation learning. Recent ...
Silvia Chiappa, Jens Kober, Jan Peters
64
Voted
DC
2008
14 years 9 months ago
Solo-valency and the cost of coordination
This paper introduces solo-valency, a variation on the valency proof technique originated by Fischer, Lynch, and Paterson. The new technique focuses on critical events that influe...
Danny Hendler, Nir Shavit
ICIP
2001
IEEE
15 years 11 months ago
The curvelet transform for image denoising
We describe approximate digital implementations of two new mathematical transforms, namely, the ridgelet transform [3] and the curvelet transform [7, 6]. Our implementations offer...
Emmanuel J. Candès
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
15 years 10 months ago
Efficient methods for topic model inference on streaming document collections
Topic models provide a powerful tool for analyzing large text collections by representing high dimensional data in a low dimensional subspace. Fitting a topic model given a set of...
Limin Yao, David M. Mimno, Andrew McCallum