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» Real-World Limits to Algorithmic Intelligence
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ICML
2009
IEEE
15 years 10 months ago
More generality in efficient multiple kernel learning
Recent advances in Multiple Kernel Learning (MKL) have positioned it as an attractive tool for tackling many supervised learning tasks. The development of efficient gradient desce...
Manik Varma, Bodla Rakesh Babu
MVA
2007
158views Computer Vision» more  MVA 2007»
14 years 9 months ago
Hybrid object labelling in digital images
The application of a technique for labelling connected components based on the classical recursive technique is studied. The recursive approach permits labelling, counting, and cha...
Julio Martín-Herrero
SASP
2009
IEEE
291views Hardware» more  SASP 2009»
15 years 4 months ago
A parameterisable and scalable Smith-Waterman algorithm implementation on CUDA-compatible GPUs
—This paper describes a multi-threaded parallel design and implementation of the Smith-Waterman (SM) algorithm on compute unified device architecture (CUDA)-compatible graphic pr...
Cheng Ling, Khaled Benkrid, Tsuyoshi Hamada
3DPVT
2006
IEEE
203views Visualization» more  3DPVT 2006»
15 years 3 months ago
Graph Cut Based Multiple View Segmentation for 3D Reconstruction
In this paper we propose a novel framework for efficiently extracting foreground objects in so called shortbaseline image sequences. We apply the obtained segmentation to improve...
Mario Sormann, Christopher Zach, Konrad F. Karner
80
Voted
ATAL
2010
Springer
14 years 10 months ago
On the limits of dictatorial classification
In the strategyproof classification setting, a set of labeled examples is partitioned among multiple agents. Given the reported labels, an optimal classification mechanism returns...
Reshef Meir, Ariel D. Procaccia, Jeffrey S. Rosens...