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» Arguing from Experience to Classifying Noisy Data
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ICCV
2007
IEEE
14 years 10 months ago
Video-based Face Recognition on Real-World Data
In this paper, we present the classification sub-system of a real-time video-based face identification system which recognizes people entering through the door of a laboratory. Si...
Johannes Stallkamp, Hazim Kemal Ekenel, Rainer Sti...
DSN
2002
IEEE
14 years 1 months ago
On the Placement of Software Mechanisms for Detection of Data Errors
An important aspect in the development of dependable software is to decide where to locate mechanisms for efficient error detection and recovery. We present a comparison between ...
Martin Hiller, Arshad Jhumka, Neeraj Suri
ALGORITHMICA
2006
74views more  ALGORITHMICA 2006»
13 years 9 months ago
Parallelizing Feature Selection
Classification is a key problem in machine learning/data mining. Algorithms for classification have the ability to predict the class of a new instance after having been trained on...
Jerffeson Teixeira de Souza, Stan Matwin, Nathalie...
CVPR
2005
IEEE
14 years 11 months ago
Pruning Training Sets for Learning of Object Categories
Training datasets for learning of object categories are often contaminated or imperfect. We explore an approach to automatically identify examples that are noisy or troublesome fo...
Anelia Angelova, Yaser S. Abu-Mostafa, Pietro Pero...
HPDC
1998
IEEE
14 years 1 months ago
Matchmaking: Distributed Resource Management for High Throughput Computing
Conventional resource management systems use a system model to describe resources and a centralized scheduler to control their allocation. We argue that this paradigm does not ada...
Rajesh Raman, Miron Livny, Marvin H. Solomon