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» Unsupervised Feature Selection Using Feature Similarity
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115
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MM
2005
ACM
171views Multimedia» more  MM 2005»
15 years 6 months ago
Semantic manifold learning for image retrieval
Learning the user’s semantics for CBIR involves two different sources of information: the similarity relations entailed by the content-based features, and the relevance relatio...
Yen-Yu Lin, Tyng-Luh Liu, Hwann-Tzong Chen
ICASSP
2011
IEEE
14 years 4 months ago
Exemplar-based Sparse Representation phone identification features
Exemplar-based techniques, such as k-nearest neighbors (kNNs) and Sparse Representations (SRs), can be used to model a test sample from a few training points in a dictionary set. ...
Tara N. Sainath, David Nahamoo, Bhuvana Ramabhadra...
117
Voted
MIR
2010
ACM
206views Multimedia» more  MIR 2010»
15 years 7 months ago
3d object retrieval using salient views
This paper presents a method for selecting salient 2D views to describe 3D objects for the purpose of retrieval. The views are obtained by first identifying salient points via a ...
Indriyati Atmosukarto, Linda G. Shapiro
110
Voted
ISBI
2007
IEEE
15 years 6 months ago
Head and Neck Cancer Patient Similarity Based on Anatomical Structural Geometry
As we develop radiation treatment planning systems for head and neck cancer patients, there is a need to identify reference patients whose anatomical structures share similar feat...
Chia-Chi Teng, Linda G. Shapiro, Ira J. Kalet, Car...
90
Voted
VLDB
2001
ACM
92views Database» more  VLDB 2001»
15 years 5 months ago
Fast Evaluation Techniques for Complex Similarity Queries
Complex similarity queries, i.e., multi-feature multi-object queries, are needed to express the information need of a user against a large multimedia repository. Even if a user in...
Klemens Böhm, Michael Mlivoncic, Hans-Jö...