2949 search results - page 58 / 590 » Universal Sparse Modeling |
118
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JMLR
2002
15 years 8 days ago
2002
We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
151
Voted
ECAI
2004
Springer
15 years 6 months ago
2004
Springer
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
100
Voted
VRST
1999
ACM
15 years 4 months ago
1999
ACM
This paper presents an image-based walkthrough technique where reference images are sparsely sampled along a path. The technique relies on a simple user interface for rapid modeli...
120
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JMLR
2010
14 years 7 months ago
2010
Real stochastic processes operating in continuous time can be modeled by sets of stochastic differential equations. On the other hand, several popular model families, including hi...
135
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CVIU
2011
14 years 4 months ago
2011
In this paper, we aim to reconstruct free-form 3D models from only one or few silhouettes by learning the prior knowledge of a specific class of objects. Instead of heuristically...