2949 search results - page 127 / 590 » Universal Sparse Modeling |
113
click to vote
KDD
2009
ACM
15 years 7 months ago
2009
ACM
Max-margin Markov networks (M3 N) have shown great promise in structured prediction and relational learning. Due to the KKT conditions, the M3 N enjoys dual sparsity. However, the...
134
Voted
ISVC
2009
Springer
15 years 7 months ago
2009
Springer
Abstract. We present an approach for articulated motion detection and pose estimation that uses only motion information. To estimate the pose and viewpoint we introduce a novel mot...
95
Voted
APPROX
2007
Springer
15 years 7 months ago
2007
Springer
Consider a scenario where one desires to simulate the execution of some graph algorithm on random input graphs of huge, perhaps even exponential size. Sampling and storing these h...
199
Voted
3DPVT
2006
IEEE
15 years 2 months ago
2006
IEEE
This paper introduces a feature based method for the fast generation of sparse 3D point clouds from multiple images with known pose. We extract sub-pixel edge elements (2D positio...
141
Voted
TSP
2010
14 years 7 months ago
2010
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....