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MATES
2009
Springer
16 years 29 days ago
Agent-Based Semantic Search at motoso.de
Abstract. Searching for information in large rather unstructured realworld data sets is a dicult task, because the user expects immediate responses as well as high-quality search ...
Nils Weber, Lars Braubach, Alexander Pokahr, Winfr...
MM
2009
ACM
185views Multimedia» more  MM 2009»
16 years 28 days ago
Deep exploration for experiential image retrieval
Experiential image retrieval systems aim to provide the user with a natural and intuitive search experience. The goal is to empower the user to navigate large collections based on...
Bart Thomee, Mark J. Huiskes, Erwin M. Bakker, Mic...
ICMCS
2008
IEEE
173views Multimedia» more  ICMCS 2008»
16 years 26 days ago
Automatic video annotation through search and mining
Conventional approaches to video annotation predominantly focus on supervised identification of a limited set of concepts, while unsupervised annotation with infinite vocabulary...
Emily Moxley, Tao Mei, Xian-Sheng Hua, Wei-Ying Ma...
AMFG
2007
IEEE
315views Biometrics» more  AMFG 2007»
16 years 23 days ago
Structured Ordinal Features for Appearance-Based Object Representation
In this paper, we propose a novel appearance-based representation, called Structured Ordinal Feature (SOF). SOF is a binary string encoded by combining eight ordinal blocks in a ci...
ShengCai Liao, Zhen Lei, Stan Z. Li, Xiaotong Yuan...
FOCI
2007
IEEE
16 years 22 days ago
Almost All Learning Machines are Singular
— A learning machine is called singular if its Fisher information matrix is singular. Almost all learning machines used in information processing are singular, for example, layer...
Sumio Watanabe