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PR
2006
101views more  PR 2006»
15 years 4 months ago
Feature-based approach to semi-supervised similarity learning
For the management of digital document collections, automatic database analysis still has ties to deal with semantic queries and abstract concepts that users are looking for. When...
Philippe Henri Gosselin, Matthieu Cord
IJISTA
2007
124views more  IJISTA 2007»
15 years 4 months ago
Incremental learning for spoken affect classification and its application in call-centres
: This paper introduces a system for real-time incremental learning in a call-centre environment. The classifier used is a Support Vector Machine (SVM) and it is applied to telepho...
Donn Morrison, Ruili Wang, W. L. Xu, Liyanage C. D...
IJISTA
2007
131views more  IJISTA 2007»
15 years 4 months ago
Face recognition based on ordinal correlation
In this paper, we propose a new face recognition system based on the ordinal correlation principle. First, we will explain the ordinal similarity measure for any two images and th...
Ronny Tjahyadi, Wanquan Liu, Senjian An, Svetha Ve...
JIB
2007
121views more  JIB 2007»
15 years 4 months ago
MetHouse: Raw and Preprocessed Mass Spectrometry Data
We are developing a vendor-independent archive and on top of that a data warehouse for mass spectrometry metabolomics data. The archive schema resembles the communitydeveloped obj...
Antje Gaida, Steffen Neumann
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MTA
2000
165views more  MTA 2000»
15 years 4 months ago
Approximating Content-Based Object-Level Image Retrieval
Object-level image retrieval is an active area of research. Given an image, a human observerdoesnot see randomdots of colors. Rather,he she observesfamiliarobjectsin the image. The...
Wynne Hsu, Tat-Seng Chua, Hung Keng Pung
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