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» Learning in FOL with a Similarity Measure
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ICML
2004
IEEE
16 years 2 months ago
Boosting margin based distance functions for clustering
The performance of graph based clustering methods critically depends on the quality of the distance function, used to compute similarities between pairs of neighboring nodes. In t...
Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
CVPR
2006
IEEE
16 years 3 months ago
Graph Laplacian Kernels for Object Classification from a Single Example
Classification with only one labeled example per class is a challenging problem in machine learning and pattern recognition. While there have been some attempts to address this pr...
Hong Chang, Dit-Yan Yeung
CVPR
2008
IEEE
16 years 3 months ago
A deformable local image descriptor
This paper presents a novel local image descriptor that is robust to general image deformations. A limitation with traditional image descriptors is that they use a single support ...
Hong Cheng, Zicheng Liu, Nanning Zheng, Jie Yang
ICPR
2008
IEEE
16 years 2 months ago
Fast protein homology and fold detection with sparse spatial sample kernels
In this work we present a new string similarity feature, the sparse spatial sample (SSS). An SSS is a set of short substrings at specific spatial displacements contained in the or...
Pai-Hsi Huang, Pavel P. Kuksa, Vladimir Pavlovic
MIR
2010
ACM
206views Multimedia» more  MIR 2010»
15 years 8 months ago
3d object retrieval using salient views
This paper presents a method for selecting salient 2D views to describe 3D objects for the purpose of retrieval. The views are obtained by first identifying salient points via a ...
Indriyati Atmosukarto, Linda G. Shapiro