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CVPR
2004
IEEE
16 years 1 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
ICML
2004
IEEE
16 years 18 days 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

Publication
172views
16 years 1 months ago
The Spatial Patterns Affecting Home to Work Distances of Two-Worker Households
Round-trips between home and work represent, for the majority of people, most of their daily commuting time; also, setting home and work places involves more constraints for two- ...
Surprenant-Legault, J and El-Geneidy A.
RECOMB
2005
Springer
16 years 3 days ago
Predicting Protein-Peptide Binding Affinity by Learning Peptide-Peptide Distance Functions
Many important cellular response mechanisms are activated when a peptide binds to an appropriate receptor. In the immune system, the recognition of pathogen peptides begins when th...
Chen Yanover, Tomer Hertz
BMCBI
2006
111views more  BMCBI 2006»
14 years 12 months ago
PepDist: A New Framework for Protein-Peptide Binding Prediction based on Learning Peptide Distance Functions
Background: Many different aspects of cellular signalling, trafficking and targeting mechanisms are mediated by interactions between proteins and peptides. Representative examples...
Tomer Hertz, Chen Yanover