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» Experiments with Classifier Combining Rules
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ICCV
2005
IEEE
16 years 3 months ago
Combining Generative Models and Fisher Kernels for Object Recognition
Learning models for detecting and classifying object categories is a challenging problem in machine vision. While discriminative approaches to learning and classification have, in...
Alex Holub, Max Welling, Pietro Perona
MLMI
2005
Springer
15 years 6 months ago
Improving the Performance of Acoustic Event Classification by Selecting and Combining Information Sources Using the Fuzzy Integr
Acoustic events produced in meeting-room-like environments may carry information useful for perceptually aware interfaces. In this paper, we focus on the problem of combining diffe...
Andrey Temko, Dusan Macho, Climent Nadeu
ICPR
2002
IEEE
16 years 2 months ago
Combining Face Verification Experts
We study the combination of face verification algorithms in order to improve the verification performance. Although the different face experts that we consider provide their outpu...
Jacek Czyz, Josef Kittler, Luc Vandendorpe
EMNLP
2007
15 years 2 months ago
LEDIR: An Unsupervised Algorithm for Learning Directionality of Inference Rules
Semantic inference is a core component of many natural language applications. In response, several researchers have developed algorithms for automatically learning inference rules...
Rahul Bhagat, Patrick Pantel, Eduard H. Hovy
MIR
2010
ACM
325views Multimedia» more  MIR 2010»
15 years 3 months ago
A classification-driven similarity matching framework for retrieval of biomedical images
This paper presents a classification-driven biomedical image retrieval system to bride the semantic gap by transforming image features to their global categories at different gran...
Md. Mahmudur Rahman, Sameer Antani, George R. Thom...