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» Image processing and data analysis: The multiscale approach
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TNN
1998
96views more  TNN 1998»
13 years 8 months ago
Noise suppressing sensor encoding and neural signal orthonormalization
In this paper we regard first the situation where parallel channels are disturbed by noise. With the goal of maximal information conservation we deduce the conditions for a transf...
Rüdiger W. Brause, M. Rippl
PAMI
2012
11 years 11 months ago
LDAHash: Improved Matching with Smaller Descriptors
—SIFT-like local feature descriptors are ubiquitously employed in such computer vision applications as content-based retrieval, video analysis, copy detection, object recognition...
Christoph Strecha, Alexander A. Bronstein, Michael...
BMCBI
2008
163views more  BMCBI 2008»
13 years 9 months ago
Nuclear staining and relative distance for quantifying epidermal differentiation in biomarker expression profiling
Background: The epidermal physiology results from a complex regulated homeostasis of keratinocyte proliferation, differentiation and death and is tightly regulated by a specific p...
Thora Pommerencke, Thorsten Steinberg, Hartmut Dic...
KDD
2010
ACM
245views Data Mining» more  KDD 2010»
14 years 9 days ago
Flexible constrained spectral clustering
Constrained clustering has been well-studied for algorithms like K-means and hierarchical agglomerative clustering. However, how to encode constraints into spectral clustering rem...
Xiang Wang, Ian Davidson
ICASSP
2009
IEEE
14 years 3 months ago
Compressive confocal microscopy
In this paper, a new approach for Confocal Microscopy (CM) based on the framework of compressive sensing is developed. In the proposed approach, a point illumination and a random ...
Peng Ye, José L. Paredes, Gonzalo R. Arce, ...