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» Using Anonymized Data for Classification
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99
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ICML
2010
IEEE
15 years 3 months ago
Deep Supervised t-Distributed Embedding
Deep learning has been successfully applied to perform non-linear embedding. In this paper, we present supervised embedding techniques that use a deep network to collapse classes....
Martin Renqiang Min, Laurens van der Maaten, Zinen...
ICCV
2007
IEEE
16 years 4 months ago
An Invariant Large Margin Nearest Neighbour Classifier
The k-nearest neighbour (kNN) rule is a simple and effective method for multi-way classification that is much used in Computer Vision. However, its performance depends heavily on ...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...
157
Voted
BMCBI
2010
140views more  BMCBI 2010»
15 years 1 days ago
An improved machine learning protocol for the identification of correct Sequest search results
Background: Mass spectrometry has become a standard method by which the proteomic profile of cell or tissue samples is characterized. To fully take advantage of tandem mass spectr...
Morten Kallberg, Hui Lu
103
Voted
ICPR
2004
IEEE
16 years 3 months ago
A System Identification Approach for Video-based Face Recognition
The paper poses video-to-video face recognition as a dynamical system identification and classification problem. Video-to-video means that both gallery and probe consists of video...
Amit K. Roy Chowdhury, Gaurav Aggarwal, Rama Chell...
117
Voted
ICNSC
2008
IEEE
15 years 9 months ago
Mining the Royal Portrait Miniature for the Art Historical Context
— the eleventh-century royal portrait miniature painting of King Gagik-Abas of Kars, Queen Goranduxt, and Princess Marem is an important image within the realm of Armenian art hi...
Steve Read, Yu Cao, Hazel Antaramian-Hofman