356 search results - page 33 / 72 » Further results on the subspace distance |
JCIT
2008
14 years 10 months ago
2008
Metric distances and the more general concept of dissimilarities are widely used tools in instance-based learning methods and very especially in the nearestneighbor classification...
120
Voted
DAGM
2011
Springer
13 years 10 months ago
2011
Springer
Many unsupervised learning algorithms make use of kernels that rely on the Euclidean distance between two samples. However, the Euclidean distance is optimal for Gaussian distribut...
77
Voted
ICCV
2007
IEEE
16 years 6 days ago
2007
IEEE
An ideal shape model should be both invariant to global transformations and robust to local distortions. In this paper we present a new shape modeling framework that achieves both...
78
Voted
CVPR
2006
IEEE
16 years 8 days ago
2006
IEEE
In this paper, we propose a sequential approach to hallucinate/synthesize high-resolution images of multiple facial expressions. We propose an idea of multi-resolution tensor for ...
92
Voted
DAC
2002
ACM
15 years 11 months ago
2002
ACM
This paper proposes a general hierarchical analysis methodology, HiPRIME, to efficiently analyze RLKC power delivery systems. After partitioning the circuits into blocks, we devel...