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» A fuzzy random forest
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127
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ICML
2010
IEEE
15 years 4 months ago
Supervised Aggregation of Classifiers using Artificial Prediction Markets
Prediction markets are used in real life to predict outcomes of interest such as presidential elections. In this work we introduce a mathematical theory for Artificial Prediction ...
Nathan Lay, Adrian Barbu
ICDAR
2007
IEEE
15 years 10 months ago
On the Applicability of Off-Line Signatures to the Fuzzy Vault Construction
In the present contribution, the applicability of off-line handwritten signatures to the fuzzy vault construction is studied. Feature extraction is based on quantized maxima and m...
Manuel R. Freire, Julian Fiérrez-Aguilar, M...
139
Voted
ECCV
2010
Springer
15 years 4 months ago
MIForests: Multiple-Instance Learning with Randomized Trees
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
Christian Leistner, Amir Saffari, Horst Bischof
APPROX
2008
Springer
184views Algorithms» more  APPROX 2008»
15 years 5 months ago
Approximately Counting Embeddings into Random Graphs
Let H be a graph, and let CH(G) be the number of (subgraph isomorphic) copies of H contained in a graph G. We investigate the fundamental problem of estimating CH(G). Previous res...
Martin Fürer, Shiva Prasad Kasiviswanathan
169
Voted
DICTA
2007
15 years 5 months ago
An in Depth Comparison of Four Texture Segmentation Methods
Texture segmentation is the process of partitioning an image into regions with different textures containing similar group of pixels. This paper presents a comparative study of fo...
Vamsi Krishna Madasu, Prasad K. D. V. Yarlagadda