1064 search results - page 101 / 213 » Neuro-Wavelet Parametric Modeling |
118
Voted
ICONIP
2007
15 years 2 months ago
2007
Variational methods for approximate inference in machine learning often adapt a parametric probability distribution to optimize a given objective function. This view is especially ...
AAAI
2006
15 years 2 months ago
2006
Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea ...
99
Voted
ICVGIP
2004
15 years 2 months ago
2004
The first contribution of this paper is a probabilistic approach for measuring motion similarity for point sequences. While most motion segmentation algorithms are based on a rank...
107
Voted
VMV
2004
15 years 2 months ago
2004
We present an approach for extracting coherently sampled animated meshes from input sequences of incoherently sampled meshes representing a continuously evolving shape. Our approa...
106
Voted
NIPS
2003
15 years 2 months ago
2003
We propose a novel method of dimensionality reduction for supervised learning. Given a regression or classification problem in which we wish to predict a variable Y from an expla...