CVPR
2012
IEEE
12 years 1 months ago
2012
IEEE
The k-NN graph has played a central role in increasingly popular data-driven techniques for various learning and vision tasks; yet, finding an efficient and effective way to con...
IJON
2010
13 years 8 months ago
2010
Graph construction plays a key role on learning algorithms based on graph Laplacian. However, the traditional graph construction approaches of -neighborhood and k-nearest-neighbor...
PR
2010
13 years 9 months ago
2010
Locality preserving projections (LPP) is a typical graph-based dimensionality reduction (DR) method, and has been successfully applied in many practical problems such as face recog...
ICML
2010
IEEE
14 years 15 days ago
2010
IEEE
In this paper, we address the scalability issue plaguing graph-based semi-supervised learning via a small number of anchor points which adequately cover the entire point cloud. Cr...
ICML
2010
IEEE
14 years 15 days ago
2010
IEEE
Existing approaches to analyzing the asymptotics of graph Laplacians typically assume a well-behaved kernel function with smoothness assumptions. We remove the smoothness assumpti...
AAAI
2000
14 years 24 days ago
2000
We present a novel approach to plan recognition in which graph construction and analysis is used as a paradigm. We use a graph structure called a Goal Graph for the plan recogniti...
NAACL
2007
14 years 26 days ago
2007
Graph-based semi-supervised learning has recently emerged as a promising approach to data-sparse learning problems in natural language processing. All graph-based algorithms rely ...
LCPC
1999
Springer
14 years 3 months ago
1999
Springer
Since the C language imposes little restriction on the use of function pointers, the task of call graph construction for a C program is far more di cult than what the algorithms d...
ECAI
2000
Springer
14 years 3 months ago
2000
Springer
We present a novel approach to plan recognition based on a two-stage paradigm of graph construction and analysis. First, a graph structure called a Goal Graph is constructed to rep...
PLDI
2009
ACM
14 years 6 months ago
2009
ACM
Symbolic analysis shows promise as a foundation for bug-finding, specification inference, verification, and test generation. This paper addresses demand-driven symbolic analysi...