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ESANN
2007
15 years 3 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
120
Voted
ICPR
2006
IEEE
16 years 3 months ago
Learning Policies for Efficiently Identifying Objects of Many Classes
Viola and Jones (VJ) cascade classification methods have proven to be very successful in detecting objects belonging to a single class -- e.g., faces. This paper addresses the mor...
Ahmed M. Elgammal, Ramana Isukapalli, Russell Grei...
151
Voted
OPODIS
2010
15 years 11 days ago
An Adaptive Technique for Constructing Robust and High-Throughput Shared Objects
Abstract. Shared counters are the key to solving a variety of coordination problems on multiprocessor machines, such as barrier synchronization and index distribution. It is desire...
Danny Hendler, Shay Kutten, Erez Michalak
APIN
1998
132views more  APIN 1998»
15 years 2 months ago
Evolution-Based Methods for Selecting Point Data for Object Localization: Applications to Computer-Assisted Surgery
Object localization has applications in many areas of engineering and science. The goal is to spatially locate an arbitrarily-shaped object. In many applications, it is desirable ...
Shumeet Baluja, David Simon
DMSN
2005
ACM
15 years 4 months ago
The threshold join algorithm for top-k queries in distributed sensor networks
In this paper we present the Threshold Join Algorithm (TJA), which is an efficient TOP-k query processing algorithm for distributed sensor networks. The objective of a top-k query...
Demetrios Zeinalipour-Yazti, Zografoula Vagena, Di...