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ISVC
2009
Springer
16 years 1 months ago
A Bag of Features Approach for 3D Shape Retrieval
In this paper, we present an adaptation the Bag of Features (BoF) concept to 3D shape retrieval problems. The BoF approach has recently become one of the most popular methods in 2D...
Janis Fehr, Alexander Streicher, Hans Burkhardt
SMI
2008
IEEE
126views Image Analysis» more  SMI 2008»
16 years 1 months ago
SHREC'08 entry: Semi-supervised learning for semantic 3D model retrieval
A shape feature by itself is not sufficient for effective 3D model retrieval. Long-lasting semantics shared by a community as well as a short-lived intention of a user determines ...
Akihiro Yamamoto, Masaki Tezuka, Toshiya Shimizu, ...
ICDIM
2007
IEEE
16 years 28 days ago
Exploiting multi-evidence from multiple user's interests to personalizing information retrieval
The goal of personalization in information retrieval is to tailor the search engine results to the specific goals, preferences and general interests of the users. We propose a no...
Lynda Tamine-Lechani, Mohand Boughanem, Nesrine Ze...
IWRIDL
2006
ACM
96views Education» more  IWRIDL 2006»
16 years 17 days ago
Advances in XML retrieval: the INEX initiative
We give a survey over the INEX initiative, which focuses on the evaluation of content -based access to XML documents. First, we describe the test setting and the various tracks of...
Norbert Fuhr, Mounia Lalmas
ICMCS
2005
IEEE
221views Multimedia» more  ICMCS 2005»
16 years 6 days ago
A Multiple Instance Learning Approach for Content Based Image Retrieval Using One-Class Support Vector Machine
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. In this paper, we propose an approach based on On...
Chengcui Zhang, Xin Chen, Min Chen, Shu-Ching Chen...