Sciweavers

540 search results - page 36 / 108
» Comparing distributions and shapes using the kernel distance
Sort
View
IPPS
2008
IEEE
16 years 17 days ago
Adaptive Locality-Effective Kernel Machine for protein phosphorylation site prediction
In this study, we propose a new machine learning model namely, Adaptive Locality-Effective Kernel Machine (Adaptive-LEKM) for protein phosphorylation site prediction. Adaptive-LEK...
Paul D. Yoo, Yung Shwen Ho, Bing Bing Zhou, Albert...
PAMI
2006
156views more  PAMI 2006»
15 years 6 months ago
Robust Point Matching for Nonrigid Shapes by Preserving Local Neighborhood Structures
In previous work on point matching, a set of points is often treated as an instance of a joint distribution to exploit global relationships in the point set. For nonrigid shapes, h...
Yefeng Zheng, David S. Doermann
CVPR
2004
IEEE
16 years 8 months ago
Learning Distance Functions for Image Retrieval
Image retrieval critically relies on the distance function used to compare a query image to images in the database. We suggest to learn such distance functions by training binary ...
Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
CORR
2007
Springer
160views Education» more  CORR 2007»
15 years 6 months ago
On the Correlation of Geographic and Network Proximity at Internet Edges and its Implications for Mobile Unicast and Multicast R
Signicant eort has been invested recently to accelerate handover operations in a next generation mobile Internet. Corresponding works for developing ecient mobile multicast man...
Thomas C. Schmidt, Matthias Wählisch, Ying Zh...
ICDE
2002
IEEE
209views Database» more  ICDE 2002»
16 years 7 months ago
Geometric-Similarity Retrieval in Large Image Bases
We propose a novel approach to shape-based image retrieval that builds upon a similarity criterion which is based on the average point set distance. Compared to traditional techni...
Ioannis Fudos, Leonidas Palios, Evaggelia Pitoura