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CIVR
2005
Springer
123views Image Analysis» more  CIVR 2005»
14 years 8 days ago
Region-Based Image Clustering and Retrieval Using Multiple Instance Learning
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. We propose an approach based on One-Class Support ...
Chengcui Zhang, Xin Chen
ICMCS
2006
IEEE
155views Multimedia» more  ICMCS 2006»
14 years 23 days 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
ECIR
2006
Springer
13 years 8 months ago
Can a Workspace Help to Overcome the Query Formulation Problem in Image Retrieval?
We have proposed a novel image retrieval system that incorporates a workspace where users can organise their search results. A task-oriented and usercentred experiment has been dev...
Jana Urban, Joemon M. Jose
CVPR
2001
IEEE
14 years 8 months ago
Optimal Adaptive Learning for Image Retrieval
Learning-enhanced relevance feedback is one of the most promising and active research directions in recent year's content-based image retrieval. However, the existing approac...
Tao Wang, Yong Rui, Shi-Min Hu
ICASSP
2011
IEEE
12 years 10 months ago
Improved spoken term detection with graph-based re-ranking in feature space
This paper presents a graph-based approach for spoken term detection. Each first-pass retrieved utterance is a node on a graph and the edge between two nodes is weighted by the s...
Yun-Nung Chen, Chia-Ping Chen, Hung-yi Lee, Chun-a...