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ECCV
2002
Springer
14 years 10 months ago
Assorted Pixels: Multi-sampled Imaging with Structural Models
Abstract. Multi-sampled imaging is a general framework for using pixels on an image detector to simultaneously sample multiple dimensions of imaging (space, time, spectrum, brightn...
Shree K. Nayar, Srinivasa G. Narasimhan
JDCTA
2008
122views more  JDCTA 2008»
13 years 8 months ago
Improved Clustering Algorithm for Change Detection in Remote Sensing
Given quantization and clustering classification of the deviations between TM and ETM+ multibandwidth images based on approved thresholds, a calibration algorithm for the correlat...
Hyung Moo Kim, Hoon Sung Kwak, Jae Soo Yoo
BMCBI
2008
173views more  BMCBI 2008»
13 years 8 months ago
Improved machine learning method for analysis of gas phase chemistry of peptides
Background: Accurate peptide identification is important to high-throughput proteomics analyses that use mass spectrometry. Search programs compare fragmentation spectra (MS/MS) o...
Allison Gehrke, Shaojun Sun, Lukasz A. Kurgan, Nat...
ICIP
2004
IEEE
14 years 10 months ago
Texture analysis using adaptive biorthogonal wavelet packets
We discuss the use of adaptive biorthogonal wavelet packet bases in a probabilistic approach to texture analysis, thus combining the advantages of biorthogonal wavelets (FIR, line...
G. Charith K. Abhayaratne, Ian Jermyn, Josiane Zer...
MICCAI
2006
Springer
14 years 9 months ago
MR Image Segmentation Using Phase Information and a Novel Multiscale Scheme
This paper considers the problem of automatic classification of textured tissues in 3D MRI. More specifically, it aims at validating the use of features extracted from the phase of...
Jurgen Fripp, Peter Stanwell, Pierrick Bourgeat, S...