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» Vector Quantizing Feature Space with a Regular Lattice
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CVPR
2010
IEEE
15 years 2 months ago
"Lattice Cut" - Constructing superpixels using layer constraints
Unsupervised over-segmentation of an image into superpixels is a common preprocessing step for image parsing algorithms. Superpixels are used as both regions of support for featur...
Alastair Moore, Simon Prince
ICANN
2007
Springer
15 years 3 months ago
A Topology-Independent Similarity Measure for High-Dimensional Feature Spaces
In the field of computer vision feature matching in high dimensional feature spaces is a commonly used technique for object recognition. One major problem is to find an adequate s...
Jochen Kerdels, Gabriele Peters
CORR
2007
Springer
138views Education» more  CORR 2007»
14 years 9 months ago
Algebraic Distributed Space-Time Codes with Low ML Decoding Complexity
— ”Extended Clifford algebras” are introduced as a means to obtain low ML decoding complexity space-time block codes. Using left regular matrix representations of two speci...
G. Susinder Rajan, B. Sundar Rajan
ICASSP
2011
IEEE
14 years 1 months ago
Video thumbnail extraction using video time density function and independent component analysis mixture model
In this paper, we propose a new vector quantization method to create video thumbnail. In particular, we employ video time density function (VTDF) to explore the temporal character...
Junfeng Jiang, Xiao-Ping Zhang
CBMS
2009
IEEE
15 years 1 months ago
A medical image retrieval framework in correlation enhanced visual concept feature space
This paper presents a medical image retrieval framework that uses visual concepts in a feature space employing statistical models built using a probabilistic multi-class support v...
Md. Mahmudur Rahman, Sameer Antani, George R. Thom...