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ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
15 years 16 days ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer
IJCAI
2001
13 years 9 months ago
Adaptive Information Extraction from Text by Rule Induction and Generalisation
(LP)2 is a covering algorithm for adaptive Information Extraction from text (IE). It induces symbolic rules that insert SGML tags into texts by learning from examples found in a u...
Fabio Ciravegna
PASTE
2005
ACM
14 years 1 months ago
String analysis for x86 binaries
Information about string values at key points in a program can help program understanding, reverse engineering, and forensics. We present a static-analysis technique for recoverin...
Mihai Christodorescu, Nicholas Kidd, Wen-Han Goh
SAFECOMP
2000
Springer
13 years 11 months ago
Expert Error: The Case of Trouble-Shooting in Electronics
An expert trouble-shooter is a subject who has a great deal of experience in his activity that allows him or her to be very efficient. However, the large amount of problems he or s...
Denis Besnard
DAGM
2004
Springer
14 years 29 days ago
Scale-Invariant Object Categorization Using a Scale-Adaptive Mean-Shift Search
The goal of our work is object categorization in real-world scenes. That is, given a novel image we want to recognize and localize unseen-before objects based on their similarity t...
Bastian Leibe, Bernt Schiele