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» Learning Local Image Descriptors
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SISAP
2010
IEEE
259views Data Mining» more  SISAP 2010»
13 years 8 months ago
kNN based image classification relying on local feature similarity
In this paper, we propose a novel image classification approach, derived from the kNN classification strategy, that is particularly suited to be used when classifying images descr...
Giuseppe Amato, Fabrizio Falchi
ICMCS
2009
IEEE
110views Multimedia» more  ICMCS 2009»
13 years 8 months ago
David: Discriminant analysis for verification of monuments in image data
In the past few years, several research works have addressed the problems posed by vision
Alberto Del Bimbo, Walter Nunziati, Pietro Pala
MLDM
1999
Springer
14 years 2 months ago
Independent Feature Analysis for Image Retrieval
Content-based image retrieval methods based on the Euclidean metric expect the feature space to be isotropic. They su€er from unequal di€erential relevance of features in comput...
Jing Peng, Bir Bhanu
ICIP
2006
IEEE
14 years 12 months ago
Local Discriminant Embedding with Tensor Representation
We present a subspace learning method, called Local Discriminant Embedding with Tensor representation (LDET), that addresses simultaneously the generalization and data representat...
Jian Xia, Dit-Yan Yeung, Guang Dai
MM
2004
ACM
99views Multimedia» more  MM 2004»
14 years 3 months ago
Locality preserving clustering for image database
It is important and challenging to make the growing image repositories easy to search and browse. Image clustering is a technique that helps in several ways, including image data ...
Xin Zheng, Deng Cai, Xiaofei He, Wei-Ying Ma, Xuey...