Sciweavers

CVPR
2012
IEEE
12 years 1 months ago
Scalable k-NN graph construction for visual descriptors
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...
Jing Wang, Jingdong Wang, Gang Zeng, Zhuowen Tu, R...
IJON
2010
121views more  IJON 2010»
13 years 8 months ago
Sample-dependent graph construction with application to dimensionality reduction
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...
Bo Yang, Songcan Chen
PR
2010
145views more  PR 2010»
13 years 9 months ago
Graph-optimized locality preserving projections
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...
Limei Zhang, Lishan Qiao, Songcan Chen
ICML
2010
IEEE
14 years 1 days ago
Large Graph Construction for Scalable Semi-Supervised Learning
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...
Wei Liu, Junfeng He, Shih-Fu Chang
ICML
2010
IEEE
14 years 1 days ago
An Analysis of the Convergence of Graph Laplacians
Existing approaches to analyzing the asymptotics of graph Laplacians typically assume a well-behaved kernel function with smoothness assumptions. We remove the smoothness assumpti...
Daniel Ting, Ling Huang, Michael I. Jordan
AAAI
2000
14 years 10 days ago
Graph Construction and Analysis as a Paradigm for Plan Recognition
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...
Jun Hong
NAACL
2007
14 years 12 days ago
Data-Driven Graph Construction for Semi-Supervised Graph-Based Learning in NLP
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 ...
Andrei Alexandrescu, Katrin Kirchhoff
LCPC
1999
Springer
14 years 3 months ago
An Empirical Study of Function Pointers Using SPEC Benchmarks
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...
Ben-Chung Cheng, Wen-mei W. Hwu
ECAI
2000
Springer
14 years 3 months ago
Plan Recognition through Goal Graph Analysis
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...
Jun Hong
PLDI
2009
ACM
14 years 5 months ago
Snugglebug: a powerful approach to weakest preconditions
Symbolic analysis shows promise as a foundation for bug-finding, specification inference, verification, and test generation. This paper addresses demand-driven symbolic analysi...
Satish Chandra, Stephen J. Fink, Manu Sridharan