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ICML
2008
IEEE
15 years 10 months ago
Graph kernels between point clouds
Point clouds are sets of points in two or three dimensions. Most kernel methods for learning on sets of points have not yet dealt with the specific geometrical invariances and pra...
Francis R. Bach
ICPR
2008
IEEE
15 years 4 months ago
Object recognition using graph spectral invariants
Graph structures have been proved important in high level-vision since they can be used to represent structural and relational arrangements of objects in a scene. One of the probl...
Bai Xiao, Richard C. Wilson, Edwin R. Hancock
TRECVID
2008
14 years 11 months ago
ISM TRECVID2008 High-level Feature Extraction
We studied a method using support vector machines (SVMs) with walk-based graph kernels for the high-level feature extraction (HLF) task. In this method, each image is first segmen...
Tomoko Matsui, Jean-Philippe Vert, Shin'ichi Satoh...
ICPR
2010
IEEE
15 years 1 months ago
Kernel on Graphs Based on Dictionary of Paths for Image Retrieval
Recent approaches of graph comparison consider graphs as sets of paths [6, 5]. Kernels on graphs are then computed from kernels on paths. A common strategy for graph retrieval is ...
Jean-Emmanuel Haugeard, Sylvie Philipp-Foliguet, P...
EUROCAST
2007
Springer
159views Hardware» more  EUROCAST 2007»
15 years 1 months ago
Ant Colony Optimization for Model Checking
Abstract Model Checking is a well-known and fully automatic technique for checking software properties, usually given as temporal logic formulas on the program variables. Most of m...
Enrique Alba, J. Francisco Chicano