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» Unsupervised Feature Selection Using Feature Similarity
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MM
2005
ACM
171views Multimedia» more  MM 2005»
16 years 4 days 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 10 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...
MIR
2010
ACM
206views Multimedia» more  MIR 2010»
16 years 1 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
ISBI
2007
IEEE
16 years 27 days 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...
VLDB
2001
ACM
92views Database» more  VLDB 2001»
15 years 11 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...