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AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
14 years 3 months ago
Preference Networks: Probabilistic Models for Recommendation Systems
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh
ICMCS
2006
IEEE
155views Multimedia» more  ICMCS 2006»
14 years 3 months ago
Region-Based Image Retrieval using Radial Basis Function Network
This paper presents a new framework that integrates relevance feedback into region-based image retrieval (RBIR) systems based on radial basis function network (RBFN). A modified u...
Kui Wu, Kim-Hui Yap, Lap-Pui Chau
ICMCS
2006
IEEE
174views Multimedia» more  ICMCS 2006»
14 years 3 months ago
Web Image Mining Based on Modeling Concept-Sensitive Salient Regions
In this paper, we propose a probabilistic model for web image mining, which is based on concept-sensitive salient regions without human intervene. Our goal is to achieve a middle-...
Jing Liu, Qingshan Liu, Jinqiao Wang, Hanqing Lu, ...
IROS
2006
IEEE
148views Robotics» more  IROS 2006»
14 years 3 months ago
Environment Understanding: Robust Feature Extraction from Range Sensor Data
— This paper proposes an approach allowing indoor environment supervised learning to recognize relevant features for environment understanding. Stochastic preprocessing methods i...
Antonio Romeo, Luis Montano
P2P
2006
IEEE
120views Communications» more  P2P 2006»
14 years 3 months ago
Risk Driven Semantic P2P Service Retrieval
In this paper, we present a novel approach, named RS2D, to risk driven semantic service query routing in unstructured, so called pure P2P networks. Following the RS2D protocol, ea...
Matthias Klusch, Ulrich Basters