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ACCV
2010
Springer
13 years 3 months ago
2010
Springer
In this paper, we present an efficient algorithm for 3D object recognition in presence of clutter and occlusions in noisy, sparse and unsegmented range data. The method uses a robu...
STOC
1993
ACM
14 years 8 days ago
1993
ACM
Abstract. The subject of this paper is nding small sample spaces for joint distributions of n discrete random variables. Such distributions are often only required to obey a certa...
EMNLP
2010
13 years 6 months ago
2010
Using multi-layer neural networks to estimate the probabilities of word sequences is a promising research area in statistical language modeling, with applications in speech recogn...
CVPR
2003
IEEE
14 years 10 months ago
2003
IEEE
Graph matching is an important component in many object recognition algorithms. Although most graph matching algorithms seek a one-to-one correspondence between nodes, it is often...
DAC
2005
ACM
13 years 10 months ago
2005
ACM
Variability of process parameters makes prediction of digital circuit timing characteristics an important and challenging problem in modern chip design. Recently, statistical stat...