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» Possibilistic Clustering in Feature Space
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ICDE
2006
IEEE
191views Database» more  ICDE 2006»
16 years 7 months ago
Query Decomposition: A Multiple Neighborhood Approach to Relevance Feedback Processing in Content-based Image Retrieval
Today's Content-Based Image Retrieval (CBIR) techniques are based on the "k-nearest neighbors" (kNN) model. They retrieve images from a single neighborhood using lo...
Kien A. Hua, Ning Yu, Danzhou Liu
VLSISP
1998
140views more  VLSISP 1998»
15 years 5 months ago
Audio Feature Extraction and Analysis for Scene Segmentation and Classification
Understanding of the scene content of a video sequence is very important for content-based indexing and retrieval of multimedia databases. Research in this area in the past severa...
Zhu Liu, Yao Wang, Tsuhan Chen
ICASSP
2008
IEEE
16 years 14 days ago
Audio retrieval by latent perceptual indexing
We present a query-by-example audio retrieval framework by indexing audio clips in a generic database as points in a latent perceptual space. First, feature-vectors extracted from...
Shiva Sundaram, Shrikanth Narayanan
COLING
2002
15 years 5 months ago
Concept Discovery from Text
Broad-coverage lexical resources such as WordNet are extremely useful. However, they often include many rare senses while missing domain-specific senses. We present a clustering a...
Dekang Lin, Patrick Pantel
TKDE
2008
175views more  TKDE 2008»
15 years 5 months ago
Efficient Phrase-Based Document Similarity for Clustering
Phrase has been considered as a more informative feature term for improving the effectiveness of document clustering. In this paper, we propose a phrase-based document similarity t...
Hung Chim, Xiaotie Deng