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ML
2006
ACM
110views Machine Learning» more  ML 2006»
15 years 6 months ago
Classification-based objective functions
Backpropagation, similar to most learning algorithms that can form complex decision surfaces, is prone to overfitting. This work presents classification-based objective functions, ...
Michael Rimer, Tony Martinez
CLUSTER
2002
IEEE
15 years 6 months ago
File and Object Replication in Data Grids
Data replication is a key issue in a Data Grid and can be managed in different ways and at different levels of granularity: for example, at the file level or object level. In the ...
Heinz Stockinger, Asad Samar, Koen Holtman, Willia...
173
Voted
ACCV
2010
Springer
15 years 1 months ago
On the Use of Implicit Shape Models for Recognition of Object Categories in 3D Data
The ability of recognizing object categories in 3D data is still an underdeveloped topic. This paper investigates on adopting Implicit Shape Models (ISMs) for 3D categorization, th...
Samuele Salti, Federico Tombari, Luigi di Stefano
CVPR
2004
IEEE
16 years 8 months ago
Extraction and Recognition of Periodically Deforming Objects by Continuous, Spatio-Temporal Shape Description
We demonstrate a novel approach to modelling arbitrary temporally-deforming objects using spatio-temporal Fourier descriptors. This is a continuous boundary descriptor, which can ...
Stuart D. Mowbray, Mark S. Nixon
CVPR
2007
IEEE
16 years 8 months ago
Recognizing objects by piecing together the Segmentation Puzzle
We present an algorithm that recognizes objects of a given category using a small number of hand segmented images as references. Our method first over segments an input image into...
Jianbo Shi, Timothée Cour