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ICIP
2010
IEEE
13 years 6 months ago
Distributed classification of multiple observations by consensus
We consider the problem of distributed classification of multiple observations of the same object that are collected in an ad-hoc network of vision sensors. Assuming that each sen...
Effrosini Kokiopoulou, Pascal Frossard
ICASSP
2011
IEEE
13 years 18 days ago
Feature selection based on Multiple Kernel Learning for single-channel sound source localization using the acoustic transfer fun
This paper presents a sound source (talker) localization method using only a single microphone. In our previous work [1], we discussed the single-channel sound source localization...
Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki
ICASSP
2011
IEEE
13 years 18 days ago
Generic object recognition using automatic region extraction and dimensional feature integration utilizing multiple kernel learn
Recently, in generic object recognition research, a classification technique based on integration of image features is garnering much attention. However, with a classifying techn...
Toru Nakashika, Akira Suga, Tetsuya Takiguchi, Yas...
TRECVID
2008
13 years 10 months ago
Oxford/IIIT TRECVID 2008 - Notebook paper
The Oxford/IIIT team participated in the high-level feature extraction and interactive search tasks. A vision only approach was used for both tasks, with no use of the text or aud...
James Philbin, Manuel J. Marín-Jimén...
IPMI
2003
Springer
14 years 9 months ago
Expectation Maximization Strategies for Multi-atlas Multi-label Segmentation
It is well-known in the pattern recognition community that the accuracy of classifications obtained by combining decisions made by independent classifiers can be substantially high...
Torsten Rohlfing, Daniel B. Russakoff, Calvin R. M...